{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/master_log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 1 Feb 2023, 00:15:49
{txt}
{com}. 
. 
. *** Define controls ***
. 
. global control voice_prior_high female age party_member member_years d_experience_campaign z_votes_own z_votes_other_1 z_votes_other_2  pre_doortodoor pre_days_doortodoor pre_posters pre_booth pre_online pre_call pre_friends pre_others 
{txt}
{com}. 
. 
. ***************************************************************
. *1. Cleaning data
. ***************************************************************
. 
. do "$scripts/cleaning/1_clean_survey_data.do"
{txt}
{com}. 
. 
. ***************************************************************
. *1. Load qualtrics data
. ***************************************************************
. 
. import excel  "$data/raw/raw.xlsx",  clear firstrow case(lower)
{res}{text}(62 vars, 1,118 obs)

{com}. 
. * Destring 
. destring *, replace
{txt}progress already numeric; no {res}replace
{txt}durationinseconds already numeric; no {res}replace
{txt}finished already numeric; no {res}replace
{txt}age already numeric; no {res}replace
{txt}gender already numeric; no {res}replace
{txt}member already numeric; no {res}replace
{txt}member_years already numeric; no {res}replace
{txt}experience_campaign already numeric; no {res}replace
{txt}experience_domain: contains nonnumeric characters; no {res}replace
{txt}canvass_days already numeric; no {res}replace
{txt}doortodoorpre already numeric; no {res}replace
{txt}voice_prior already numeric; no {res}replace
{txt}voteexp_1: contains nonnumeric characters; no {res}replace
{txt}voteexp_2: contains nonnumeric characters; no {res}replace
{txt}voteexp_3: contains nonnumeric characters; no {res}replace
{txt}topic_voice_intr_1 already numeric; no {res}replace
{txt}topic_voice_intr_2 already numeric; no {res}replace
{txt}topic_voice_intr_3 already numeric; no {res}replace
{txt}topic_voice_intr_4 already numeric; no {res}replace
{txt}topic_voice_intr_5 already numeric; no {res}replace
{txt}topic_voice_intr_6 already numeric; no {res}replace
{txt}topic_voice_intr_7 already numeric; no {res}replace
{txt}topic_voice_intr_8 already numeric; no {res}replace
{txt}topic_voice_intr_9 already numeric; no {res}replace
{txt}topic_feedback_intr_1 already numeric; no {res}replace
{txt}topic_feedback_intr_2 already numeric; no {res}replace
{txt}topic_feedback_intr_3 already numeric; no {res}replace
{txt}topic_feedback_intr_4 already numeric; no {res}replace
{txt}topic_feedback_intr_5 already numeric; no {res}replace
{txt}topic_feedback_intr_6 already numeric; no {res}replace
{txt}topic_feedback_intr_7 already numeric; no {res}replace
{txt}topic_feedback_intr_8 already numeric; no {res}replace
{txt}topic_feedback_intr_9 already numeric; no {res}replace
{txt}topics_voice_instr_1 already numeric; no {res}replace
{txt}topics_voice_instr_2 already numeric; no {res}replace
{txt}topics_voice_instr_3 already numeric; no {res}replace
{txt}topics_voice_instr_4 already numeric; no {res}replace
{txt}topics_voice_instr_5 already numeric; no {res}replace
{txt}topics_voice_instr_6 already numeric; no {res}replace
{txt}topics_voice_instr_7 already numeric; no {res}replace
{txt}topics_voice_instr_8 already numeric; no {res}replace
{txt}topics_voice_instr_9 already numeric; no {res}replace
{txt}topic_feedback_instr_1 already numeric; no {res}replace
{txt}topic_feedback_instr_2 already numeric; no {res}replace
{txt}topic_feedback_instr_3 already numeric; no {res}replace
{txt}topic_feedback_instr_4 already numeric; no {res}replace
{txt}topic_feedback_instr_5 already numeric; no {res}replace
{txt}topic_feedback_instr_6 already numeric; no {res}replace
{txt}topic_feedback_instr_7 already numeric; no {res}replace
{txt}topic_feedback_instr_8 already numeric; no {res}replace
{txt}topic_feedback_instr_9 already numeric; no {res}replace
{txt}intentions: contains nonnumeric characters; no {res}replace
{txt}intention_days already numeric; no {res}replace
{txt}manip_1 already numeric; no {res}replace
{txt}manip_2 already numeric; no {res}replace
{txt}manip_3 already numeric; no {res}replace
{txt}manip_4 already numeric; no {res}replace
{txt}manip_5 already numeric; no {res}replace
{txt}pid already numeric; no {res}replace
{txt}treatment: contains nonnumeric characters; no {res}replace
{txt}comment_length already numeric; no {res}replace
{txt}comment_length_w already numeric; no {res}replace
{txt}
{com}. 
. 
. 
. ***************************************************************
. *2. Clean qualtrics data
. ***************************************************************
. 
. ******************
. /* Demographics */
. ******************
. 
. 
. gen female = (gender==2) if gender != .
{txt}(45 missing values generated)

{com}. drop gender
{txt}
{com}. ***********************************************************
. /* Party membership, past campaigning, views on election */
. ***********************************************************
. 
. gen party_member = (member==1) if member != .
{txt}(45 missing values generated)

{com}. drop member
{txt}
{com}. 
. replace member_years = 0 if party_member == 0
{txt}(55 real changes made)

{com}. 
. 
. ** Campaign experience variables **
. gen d_experience_campaign = (experience_campaign==1)
{txt}
{com}. 
. gen pre_doortodoor = strpos(experience_domain, "1") > 0
{txt}
{com}. gen pre_posters = strpos(experience_domain, "2") > 0
{txt}
{com}. gen pre_booth = strpos(experience_domain, "3") > 0
{txt}
{com}. gen pre_online = strpos(experience_domain, "4") > 0
{txt}
{com}. gen pre_call = strpos(experience_domain, "5") > 0
{txt}
{com}. gen pre_friends = strpos(experience_domain, "6") > 0
{txt}
{com}. gen pre_others =  strpos(experience_domain, "7") > 0
{txt}
{com}. 
. 
. 
. gen  pre_days_doortodoor = canvass_days
{txt}(589 missing values generated)

{com}. replace pre_days_doortodoor = 0 if pre_doortodoor == 0
{txt}(576 real changes made)

{com}. 
. 
. 
. ** Expected vote shares ** 
. 
. * Own party
. gen votes_own = voteexp_1
{txt}(113 missing values generated)

{com}. replace votes_own = subinstr(votes_own, ",", ".",.) 
{txt}(10 real changes made)

{com}. replace votes_own = subinstr(votes_own, "%", "",.) 
{txt}(8 real changes made)

{com}. replace votes_own = subinstr(votes_own, "?", "",.) 
{txt}(2 real changes made)

{com}. replace votes_own = subinstr(votes_own, "$", "",.) 
{txt}(1 real change made)

{com}. replace votes_own = subinstr(votes_own, "+", "",.)
{txt}(1 real change made)

{com}. replace votes_own = subinstr(votes_own, "<", "",.) 
{txt}(0 real changes made)

{com}. destring votes_own, replace
{txt}votes_own: all characters numeric; {res}replaced {txt}as {res}double
{txt}(115 missing values generated)
{res}{txt}
{com}. 
. * Competition party 1
. gen votes_other_1 = voteexp_2
{txt}(112 missing values generated)

{com}. replace votes_other_1 = subinstr(votes_other_1, ",", ".",.) 
{txt}(9 real changes made)

{com}. replace votes_other_1 = subinstr(votes_other_1, "%", "",.) 
{txt}(9 real changes made)

{com}. replace votes_other_1 = subinstr(votes_other_1, "?", "",.) 
{txt}(3 real changes made)

{com}. replace votes_other_1 = subinstr(votes_other_1, "$", "",.) 
{txt}(0 real changes made)

{com}. replace votes_other_1 = subinstr(votes_other_1, "+", "",.)
{txt}(1 real change made)

{com}. replace votes_other_1 = subinstr(votes_other_1, "<", "",.) 
{txt}(0 real changes made)

{com}. destring votes_other_1, replace
{txt}votes_other_1: all characters numeric; {res}replaced {txt}as {res}double
{txt}(115 missing values generated)
{res}{txt}
{com}. 
. 
. 
. * Competition party 2
. gen votes_other_2 = voteexp_3
{txt}(113 missing values generated)

{com}. replace votes_other_2 = subinstr(votes_other_2, ",", ".",.) 
{txt}(6 real changes made)

{com}. replace votes_other_2 = subinstr(votes_other_2, "%", "",.) 
{txt}(9 real changes made)

{com}. replace votes_other_2 = subinstr(votes_other_2, "?", "",.) 
{txt}(3 real changes made)

{com}. replace votes_other_2 = subinstr(votes_other_2, "$", "",.) 
{txt}(0 real changes made)

{com}. replace votes_other_2 = subinstr(votes_other_2, "+", "",.)
{txt}(1 real change made)

{com}. replace votes_other_2 = subinstr(votes_other_2, "<", "",.) 
{txt}(0 real changes made)

{com}. destring votes_other_2, replace
{txt}votes_other_2: all characters numeric; {res}replaced {txt}as {res}double
{txt}(116 missing values generated)
{res}{txt}
{com}. 
. 
. drop voteexp_*
{txt}
{com}. 
. **********************
. /* Treatment Status */
. **********************
. 
. cap gen voice_instrumental = treatment=="voice_instrumental"
{txt}
{com}. label var voice_instrumental "Treatment: Instrumental, no feedback"
{txt}
{com}. 
. cap gen voice_intrinsic = treatment=="voice_intrinsic"
{txt}
{com}. label var voice_intrinsic  "Treatment: Intrinsic, no feedback"
{txt}
{com}. 
. 
. cap gen voice_feedback_intrinsic =treatment=="voice_feedback_intrinsic"
{txt}
{com}. label var voice_feedback_intrinsic  "Treatment: Intrinsic, feedback"
{txt}
{com}. 
. cap gen voice_feedback_instrumental=treatment=="voice_feedback_instrumental"
{txt}
{com}. label var voice_feedback_instrumental "Treatment: Instrumental, feedback"
{txt}
{com}. 
. 
. cap gen control = treatment=="control"
{txt}
{com}. label var control "Control group"
{txt}
{com}. 
. cap gen voice_instrumental_pooled = treatment=="voice_instrumental" |  treatment=="voice_feedback_instrumental"
{txt}
{com}. label var voice_instrumental_pooled "Treatment: Any instrumental"
{txt}
{com}. cap gen voice_intrinsic_pooled = treatment=="voice_intrinsic" | treatment=="voice_feedback_intrinsic"
{txt}
{com}. label var voice_intrinsic_pooled "Treatment: Any intrinsic"
{txt}
{com}. 
. cap gen feedback_pooled = treatment=="voice_feedback_intrinsic" |  treatment=="voice_feedback_instrumental"
{txt}
{com}. label var feedback_pooled "Treatment: Any feedback"
{txt}
{com}. cap gen no_feedback_pooled = treatment=="voice_intrinsic" | treatment=="voice_instrumental"
{txt}
{com}. label var no_feedback_pooled "Treatment: No feedback"
{txt}
{com}. 
. drop treatment
{txt}
{com}. gen treat_any = control==0
{txt}
{com}. label var treat_any "Any treatment"
{txt}
{com}. 
. ***************************
. /*  Campaign intentions  */
. ***************************
. 
. gen int_doortodoor = strpos(intentions, "1") > 0 if !missing(intentions)
{txt}(154 missing values generated)

{com}. gen int_posters = strpos(intentions, "2") > 0 if  !missing(intentions)
{txt}(154 missing values generated)

{com}. gen int_booth = strpos(intentions, "3") > 0  if  !missing(intentions)
{txt}(154 missing values generated)

{com}. gen int_online = strpos(intentions, "4") > 0 if  !missing(intentions)
{txt}(154 missing values generated)

{com}. gen int_call = strpos(intentions, "5") > 0  if  !missing(intentions)
{txt}(154 missing values generated)

{com}. gen int_friends = strpos(intentions, "6") > 0 if  !missing(intentions)
{txt}(154 missing values generated)

{com}. gen int_no_plans = strpos(intentions, "7") > 0  if  !missing(intentions)
{txt}(154 missing values generated)

{com}. gen int_others =  strpos(intentions, "8") > 0  if  !missing(intentions)
{txt}(154 missing values generated)

{com}. 
. gen n_intendedact = int_doortodoor + int_posters + int_booth + int_online + int_call + int_friends if !missing(intentions) // + int_others
{txt}(154 missing values generated)

{com}. replace  n_intendedact =0  if int_no_plans==1 // Recode those who selected no plans as one option.
{txt}(31 real changes made)

{com}. 
. gen int_days_doortodoor = intention_days
{txt}(798 missing values generated)

{com}. replace int_days_doortodoor = 0 if int_doortodoor == 0
{txt}(641 real changes made)

{com}. 
. 
. 
. ***************************
. /*  Topic choices                */
. ***************************
. 
. label define importance 1 "Not at all important" 2 "Not important" 3 "Important" 4 "Very important"
{txt}
{com}. 
. forval l=1/9 {c -(}
{txt}  2{com}. gen topic_`l'=.
{txt}  3{com}. foreach x in topic_voice_intr_ topic_feedback_intr_ topics_voice_instr_ topic_feedback_instr_ {c -(}
{txt}  4{com}.         
. replace topic_`l'=`x'`l' if `x'`l' !=.  
{txt}  5{com}. drop `x'`l'     
{txt}  6{com}. {c )-}
{txt}  7{com}. recode topic_`l' (4=2)(6=3)(7=4)
{txt}  8{com}. label var topic_`l' "Importance of topic `l'"
{txt}  9{com}. label val topic_`l' importance
{txt} 10{com}. {c )-}
{txt}(1,118 missing values generated)
(164 real changes made)
(160 real changes made)
(175 real changes made)
(160 real changes made)
(topic_1: 651 changes made)
(1,118 missing values generated)
(164 real changes made)
(160 real changes made)
(175 real changes made)
(160 real changes made)
(topic_2: 658 changes made)
(1,118 missing values generated)
(164 real changes made)
(160 real changes made)
(175 real changes made)
(160 real changes made)
(topic_3: 651 changes made)
(1,118 missing values generated)
(164 real changes made)
(160 real changes made)
(175 real changes made)
(160 real changes made)
(topic_4: 641 changes made)
(1,118 missing values generated)
(164 real changes made)
(160 real changes made)
(175 real changes made)
(160 real changes made)
(topic_5: 651 changes made)
(1,118 missing values generated)
(164 real changes made)
(160 real changes made)
(175 real changes made)
(160 real changes made)
(topic_6: 646 changes made)
(1,118 missing values generated)
(164 real changes made)
(160 real changes made)
(175 real changes made)
(160 real changes made)
(topic_7: 644 changes made)
(1,118 missing values generated)
(164 real changes made)
(160 real changes made)
(175 real changes made)
(160 real changes made)
(topic_8: 646 changes made)
(1,118 missing values generated)
(164 real changes made)
(160 real changes made)
(175 real changes made)
(160 real changes made)
(topic_9: 649 changes made)

{com}. 
. 
. 
. *************************
. /* First stage beliefs */
. *************************
. 
. rename manip_1 fs_engagement
{res}{txt}
{com}. rename manip_2 fs_connected
{res}{txt}
{com}. rename manip_3 fs_voice
{res}{txt}
{com}. rename manip_4 fs_interest
{res}{txt}
{com}. rename manip_5 fs_effective
{res}{txt}
{com}. 
. label define first_stage  1 "Do not agree at all" 2 "Do not agree" 3 "Neutral" 4 "Agree" 5 "Totally agree"
{txt}
{com}. 
. foreach v of varlist fs_engagement fs_connected fs_voice fs_interest fs_effective {c -(}
{txt}  2{com}. lab values `v' first_stage 
{txt}  3{com}. recode `v' (4=1)(5=2)(6=3)(7=4)(8=5)
{txt}  4{com}. sum `v' if control == 1
{txt}  5{com}. local mean r(mean)
{txt}  6{com}. local sd r(sd)  
{txt}  7{com}. 
. gen z_`v' = (`v'-`mean')/`sd' // Standardize outcomes
{txt}  8{com}. 
. {c )-}
{txt}(fs_engagement: 955 changes made)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
fs_engagem~t {c |}{res}        326    3.365031    1.074976          1          5
{txt}(163 missing values generated)
(fs_connected: 955 changes made)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
fs_connected {c |}{res}        326    4.242331    .8149673          1          5
{txt}(163 missing values generated)
(fs_voice: 955 changes made)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}fs_voice {c |}{res}        326    2.754601     1.07613          1          5
{txt}(163 missing values generated)
(fs_interest: 955 changes made)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}fs_interest {c |}{res}        326     3.02454    1.086708          1          5
{txt}(163 missing values generated)
(fs_effective: 955 changes made)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
fs_effective {c |}{res}        326    2.478528    1.097339          1          5
{txt}(163 missing values generated)

{com}. 
. 
. 
. recode voice_prior (6=5)(7=4)(8=3)(9=2)(10=1)
{txt}(voice_prior: 1019 changes made)

{com}. label define voice_prior  1 "No, definitely not" 2 "Rather not" 3 "I am not sure" 4 "Rather yes " 5 "Yes, definitely"
{txt}
{com}. 
. lab values  voice_prior voice_prior 
{txt}
{com}. 
. 
. 
. gen  voice_prior_high=  inlist(voice_prior,4,5)
{txt}
{com}. label var  voice_prior_high "Perceives voice in party"
{txt}
{com}. 
. foreach v of varlist voice_prior  votes_own votes_other_1 votes_other_2 {c -(}
{txt}  2{com}. sum `v'
{txt}  3{com}. replace `v'=r(mean) if missing(`v')     
{txt}  4{com}.         
. sum `v' if control == 1
{txt}  5{com}. local mean r(mean)
{txt}  6{com}. 
. local sd r(sd)  
{txt}  7{com}. 
. gen z_`v' = (`v'-`mean')/`sd'  // Standardize controls
{txt}  8{com}. 
. {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}voice_prior {c |}{res}      1,019    3.198234    1.234713          1          5
{txt}variable {bf}voice_prior{sf} was {bf}{res}byte{sf}{txt} now {bf}{res}float{sf}
{txt}(99 real changes made)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}voice_prior {c |}{res}        373     3.12584    1.158731          1          5

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}votes_own {c |}{res}      1,003    26.08684     5.61946          0        100
{txt}(115 real changes made)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}votes_own {c |}{res}        373    26.53589    6.093088         10         98

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
votes_othe~1 {c |}{res}      1,003    18.68993    3.940507          0         50
{txt}(115 real changes made)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
votes_othe~1 {c |}{res}        373    18.67184    3.942721          1         50

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
votes_othe~2 {c |}{res}      1,002    22.43064    4.216199          0         50
{txt}(116 real changes made)

    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
votes_othe~2 {c |}{res}        373     22.5427    4.086531          0         50
{txt}
{com}. 
. 
. ** Generate voice index **
. 
. egen z_score_fs = rowmean(z_fs_engagement z_fs_connected z_fs_voice z_fs_interest) //
{txt}(163 missing values generated)

{com}. 
. sum z_score_fs if control==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 2}z_score_fs {c |}{res}        326   -9.28e-09    .7884095  -2.418008   1.588754
{txt}
{com}. 
. replace z_score_fs =(z_score_fs -r(mean))/r(sd)
{txt}(955 real changes made)

{com}. label var z_score_fs "Voice index"
{txt}
{com}.  
. ** Length of comment (pre-cleaned to maintain anonymity) ** 
. 
. 
. replace comment_length=. if control==1
{txt}(335 real changes made, 335 to missing)

{com}. replace comment_length_w=. if control==1
{txt}(335 real changes made, 335 to missing)

{com}. ren comment_length_w comment_length_wins
{res}{txt}
{com}. 
. label var comment_length  "Number of characters in feedback comment"
{txt}
{com}. label var comment_length_wins  "Number of characters in feedback comment (winsorized)"
{txt}
{com}. 
. gen comment_any=comment_length_wins>0 if !missing(comment_length_wins)
{txt}(446 missing values generated)

{com}. label var comment_any "Left any comment"                  
{txt}
{com}.                 
. 
. *** Restrict sample *** 
.                 
. keep if  progress >34 // Keep sample that saw at least one treatment screen
{txt}(111 observations deleted)

{com}. 
. 
. ** Winsorize controls **
. foreach x in member_years pre_days_doortodoor {c -(}
{txt}  2{com}. 
. sum `x' ,d
{txt}  3{com}. replace `x'=r(p99) if `x' >=r(p99) &!missing(`x')
{txt}  4{com}. {c )-}

                        {txt}member_years
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        1              0       {txt}Obs         {res}      1,007
{txt}25%    {res}        3              0       {txt}Sum of Wgt. {res}      1,007

{txt}50%    {res}       10                      {txt}Mean          {res} 15.67229
                        {txt}Largest       Std. Dev.     {res} 15.74277
{txt}75%    {res}       25             61
{txt}90%    {res}       40             74       {txt}Variance      {res} 247.8347
{txt}95%    {res}       48             98       {txt}Skewness      {res} 1.158602
{txt}99%    {res}       56             99       {txt}Kurtosis      {res}  4.15486
{txt}(9 real changes made)

                     pre_days_doortodoor
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}      1,007
{txt}25%    {res}        0              0       {txt}Sum of Wgt. {res}      1,007

{txt}50%    {res}        1                      {txt}Mean          {res} 18.67627
                        {txt}Largest       Std. Dev.     {res} 79.71853
{txt}75%    {res}       10           1000
{txt}90%    {res}       30           1000       {txt}Variance      {res} 6355.044
{txt}95%    {res}       99           1000       {txt}Skewness      {res} 10.11078
{txt}99%    {res}      200           1000       {txt}Kurtosis      {res} 118.5518
{txt}(10 real changes made)

{com}. 
. 
. *** Labeling ***
. 
. 
. lab var female "Female"
{txt}
{com}. 
. lab var party_member "Party member"
{txt}
{com}. lab var member_years "Years of party membership (winsorized)" 
{txt}
{com}. lab var d_experience_campaign  "Any experience campaigning" 
{txt}
{com}. 
. lab var pre_doortodoor "Experience: door canvassing"
{txt}
{com}. lab var pre_days_doortodoor "Experience: \# days door canvassing (winsorized)"
{txt}
{com}. lab var pre_posters "Experience: sticking poster"
{txt}
{com}. lab var pre_booth "Experience: campaign booth"
{txt}
{com}. lab var pre_online "Experience: social media"
{txt}
{com}. lab var pre_call "Experience: phone canvassing"
{txt}
{com}. lab var pre_friends "Experience: convince friends"
{txt}
{com}. lab var pre_others "Experience: other"
{txt}
{com}. 
. lab var voice_prior "Perceived voice within party (1 - 5 Likert scale)"
{txt}
{com}. lab var z_voice_prior "Perceived voice within party (1 - 5 Likert scale) (standardized)"
{txt}
{com}. label var  voice_prior_high "Perceives voice in party"
{txt}
{com}. 
. label var votes_own "Expected vote share own party"
{txt}
{com}. label var votes_other_1 "Expected vote share competitor party 1"
{txt}
{com}. label var votes_other_2 "Expected vote share competitor party 2"
{txt}
{com}. 
. label var z_votes_own "Expected vote share own party (z)"
{txt}
{com}. label var z_votes_other_1 "Expected vote share competitor party 1 (z)"
{txt}
{com}. label var z_votes_other_2 "Expected vote share competitor party 2 (z)"
{txt}
{com}. 
. *** Outcomes ***
. 
. lab var int_no_plans "Has no plans"
{txt}
{com}. lab var n_intendedact "\# intended activities"
{txt}
{com}. 
. 
. lab var int_doortodoor "Intention: door canvassing"
{txt}
{com}. lab var int_days_doortodoor "Intention: \# days door canvassing"
{txt}
{com}. lab var int_posters "Intention: sticking posters"
{txt}
{com}. lab var int_booth  "Intention: campaign booth"
{txt}
{com}. lab var int_online  "Intention: social media"
{txt}
{com}. lab var int_call "Intention: phone canvassing"
{txt}
{com}. lab var int_friends  "Intention: convince friends"
{txt}
{com}. lab var int_others   "Intention: other"
{txt}
{com}. 
. lab var fs_engagement "I can make a difference through my involvement in [partyname]."
{txt}
{com}. lab var fs_connected "I feel connected to [partyname]."
{txt}
{com}. lab var fs_voice "My opinion is being taken into account to improve the party’s election campaign."
{txt}
{com}. lab var fs_interest "I have the feeling that [partyname] is interested in my opinion."
{txt}
{com}. lab var fs_effective "The [partyname] has an effective campaigning strategy."
{txt}
{com}. 
. 
. lab var z_fs_engagement "I can make a difference through my involvement in [partyname]. (standardized)"
{txt}
{com}. lab var z_fs_connected "I feel connected to [partyname]. (standardized)"
{txt}
{com}. lab var z_fs_voice "My opinion is being taken into account to improve the party’s election campaign. (standardized)"
{txt}note: label truncated to 80 characters

{com}. lab var z_fs_interest "I have the feeling that [partyname] is interested in my opinion. (standardized)"
{txt}
{com}. lab var z_fs_effective "The [partyname] has an effective campaigning strategy. (standardized)"
{txt}
{com}. 
. *** Other labels ***
. 
. label var finished "Finished survey"
{txt}
{com}. label var progress "Progress in survey"
{txt}
{com}. label var pid "Personal identifier"
{txt}
{com}. 
. 
. label define treat 1 "Treatment" 0 "Control"
{txt}
{com}. label values treat_any  treat
{txt}
{com}. 
. 
. save "$data/clean/clean_main.dta" , replace
{txt}file /Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/data/clean/clean_main.dta saved

{com}. 
. ** Add comment classification **
. 
. import excel  "$data/raw/comments_raw.xlsx",  clear firstrow case(lower)
{res}{text}(4 vars, 1,007 obs)

{com}. drop b
{txt}
{com}. 
. ren constructive comment_constructive
{res}{txt}
{com}. label var  comment_constructive "Constructive comment"
{txt}
{com}. 
. ren valid comment_valid
{res}{txt}
{com}. label var  comment_valid "No nonsense comment"
{txt}
{com}. 
. 
. merge 1:1 pid using "$data/clean/clean_main.dta" 
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               2
{txt}{col 9}from master{col 30}{res}               1{txt}  (_merge==1)
{col 9}from using{col 30}{res}               1{txt}  (_merge==2)

{col 5}matched{col 30}{res}           1,006{txt}  (_merge==3)
{col 5}{hline 41}

{com}. 
. ** Recode missing values **
. recode comment_constructive (.=0) if control==0
{txt}(comment_constructive: 337 changes made)

{com}. 
. gen comment_nonsense = comment_valid==0  if control==0
{txt}(336 missing values generated)

{com}. label var  comment_nonsense "No nonsense comment"
{txt}
{com}. 
. drop if _merge==1
{txt}(1 observation deleted)

{com}. drop _merge  comment_valid
{txt}
{com}. 
. save "$data/clean/clean_main.dta" , replace
{txt}file /Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/data/clean/clean_main.dta saved

{com}. 
{txt}end of do-file

{com}. 
. do "$scripts/cleaning/2_clean_doors_data.do"
{txt}
{com}. /***************************************************************
> This do-file merges the door data to the main survey data
> ***************************************************************/
. 
. 
. ***************************************************************
. *1. Load doors data
. ***************************************************************
. 
. insheet using "$data/raw/doors_clean.csv", names clear
{txt}(2 vars, 11,180 obs)

{com}. 
. 
. ***************************************************************
. *2. Clean doors data
. ***************************************************************
. 
. foreach var of varlist  total_knocked_doors {c -(}
{txt}  2{com}. replace `var' = "0" if `var' == "NA"
{txt}  3{com}. destring `var', replace
{txt}  4{com}. {c )-}
{txt}(9,397 real changes made)
total_knocked_doors: all characters numeric; {res}replaced {txt}as {res}int
{txt}
{com}. 
. gen any_doors = (total_knocked_doors>0)
{txt}
{com}. 
. 
. 
. 
. save "$data/clean/clean_doors_main.dta" , replace
{txt}file /Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/data/clean/clean_doors_main.dta saved

{com}. 
. ***************************************************************
. *2. Merge doors data with qualtrics data
. ***************************************************************
. 
. use "$data/clean/clean_main.dta", clear
{txt}
{com}. 
. merge 1:1 pid using "$data/clean/clean_doors_main.dta"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}          10,173
{txt}{col 9}from master{col 30}{res}               0{txt}  (_merge==1)
{col 9}from using{col 30}{res}          10,173{txt}  (_merge==2)

{col 5}matched{col 30}{res}           1,007{txt}  (_merge==3)
{col 5}{hline 41}

{com}. 
. drop if _merge != 3
{txt}(10,173 observations deleted)

{com}. drop _merge
{txt}
{com}. 
. gen doors_wins = total_knocked_doors
{txt}
{com}. sum total_knocked_doors , d

                     {txt}total_knocked_doors
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}      1,007
{txt}25%    {res}        0              0       {txt}Sum of Wgt. {res}      1,007

{txt}50%    {res}        0                      {txt}Mean          {res} 4.904667
                        {txt}Largest       Std. Dev.     {res} 82.26437
{txt}75%    {res}        0            248
{txt}90%    {res}        0            512       {txt}Variance      {res} 6767.426
{txt}95%    {res}        0            649       {txt}Skewness      {res} 26.59302
{txt}99%    {res}       65           2441       {txt}Kurtosis      {res} 770.4919
{txt}
{com}. replace doors_wins = r(p99) if total_knocked_doors > r(p99)
{txt}(10 real changes made)

{com}. 
. label var any_doors "Knocked on any door"
{txt}
{com}. label var doors_wins "\# doors knocked"
{txt}
{com}. label var total_knocked_doors "\# doors knocked (not winsorized)"
{txt}
{com}. 
. save "$data/clean/clean_main_complete.dta" , replace
{txt}file /Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/data/clean/clean_main_complete.dta saved

{com}. 
. erase "$data/clean/clean_main.dta"
{txt}
{com}. erase "$data/clean/clean_doors_main.dta"
{txt}
{com}. 
{txt}end of do-file

{com}. 
. do "$scripts/cleaning/3_clean_vignette.do"
{txt}
{com}. /***************************************************************
> This do-file cleans the vignette data
> ***************************************************************/
. 
. 
. 
. 
. 
. import delimited "$data/raw/voice_vignette.csv", bindquote(strict) varnames(1) stripquote(yes) encoding(UTF-8) clear 
{res}{text}(23 vars, 809 obs)

{com}. 
. 
. keep if attention=="333"
{txt}(312 observations deleted)

{com}. 
. 
. 
. ren prob_statusquo_join_10 prob_join_0
{res}{txt}
{com}. ren prob_statusquo_camp_10 prob_camp_0
{res}{txt}
{com}. 
. ren prob_voice_join_4 prob_join_1
{res}{txt}
{com}. ren prob_voice_campaign_10 prob_camp_1
{res}{txt}
{com}. 
. 
. 
. gen study_party=member_party=="partner" | supporter_party=="partner"
{txt}
{com}. 
. keep if prob_camp_1!=.
{txt}(1 observation deleted)

{com}. gen id=_n
{txt}
{com}. 
. 
. *** Clean vignette order
. 
. gen voice_first= fl_86_do!="condition_statusquo|condition_voice"
{txt}
{com}. 
. gen prob_join_first = prob_join_0  if fl_86_do=="condition_statusquo|condition_voice"
{txt}(267 missing values generated)

{com}. replace prob_join_first = prob_join_1 if fl_86_do!="condition_statusquo|condition_voice"
{txt}(210 real changes made)

{com}. 
. gen prob_camp_first = prob_camp_0  if fl_86_do=="condition_statusquo|condition_voice"
{txt}(238 missing values generated)

{com}. replace prob_camp_first = prob_camp_1 if fl_86_do!="condition_statusquo|condition_voice"
{txt}(238 real changes made)

{com}. 
. 
. *** Label variables ***
. gen male =gender=="Male"
{txt}
{com}. label var male "Male"
{txt}
{com}. 
. label var age "Age"
{txt}
{com}. 
. gen member = member_yes=="Yes"
{txt}
{com}. label var member "Party member"
{txt}
{com}. 
. 
. gen tertiary= education=="University or college"
{txt}
{com}. label var tertiary "College degree"
{txt}
{com}. 
. gen vocational= education=="Vocational training"
{txt}
{com}. label var vocational "Vocational degree"
{txt}
{com}. 
. gen student=employmentstatus=="Student"
{txt}
{com}. label var student "Student"
{txt}
{com}. 
. gen retired=employmentstatus=="Retired"
{txt}
{com}. label var retired "Retired"
{txt}
{com}. 
. gen employed= employmentstatus=="part time job" | employmentstatus=="Fulltime job"
{txt}
{com}. label var employed "Working"
{txt}
{com}. 
. gen supporter=supporter_yes=="Yes"
{txt}
{com}. label var supporter "Party supporter"
{txt}
{com}. 
. gen experience=experience_campaign=="Yes"
{txt}
{com}. label var experience "Has experience canvassing"
{txt}
{com}. 
. 
. keep prob_join_* prob_camp_*  voice_* id supporter experience employed retired student  vocational  tertiary member  age male 
{txt}
{com}. 
. 
. save "$data/clean/vignette.dta", replace
{txt}file /Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/data/clean/vignette.dta saved

{com}. 
. 
. 
. 
. 
. 
{txt}end of do-file

{com}. 
. ***************************************************************
. *2. Main output
. ***************************************************************
. 
. 
. do "$scripts/figures/Figure_2_voice_nint_scatter.do"
{txt}
{com}. 
. 
. 
. 
. use "$data/clean/clean_main_complete.dta" , replace
{txt}
{com}. 
. 
.  
. binscatter any_doors  z_score_fs ,  ytitle("Any canvassing (app data)") xtitle("Voice index") title(" ")  nq(10)
{res}{txt}
{com}. 
. graph export "$output/figure_binscatter_doors_fs.pdf", replace
{txt}(file /Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/output/figure_binscatter_doors_fs.pdf written in PDF format)

{com}. 
. 
. reg n_intendedact  z_score_fs ,r

{txt}Linear regression                               Number of obs     = {res}       949
                                                {txt}F(1, 947)         =  {res}   117.28
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1133
                                                {txt}Root MSE          =    {res} 1.6525

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}n_intended~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}z_score_fs {c |}{col 14}{res}{space 2} .5917759{col 26}{space 2} .0546452{col 37}{space 1}   10.83{col 46}{space 3}0.000{col 54}{space 4} .4845363{col 67}{space 3} .6990155
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2.608778{col 26}{space 2} .0538709{col 37}{space 1}   48.43{col 46}{space 3}0.000{col 54}{space 4} 2.503058{col 67}{space 3} 2.714499
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. binscatter  n_intendedact  z_score_fs ,  ytitle("# Intended activities") xtitle("Voice index") title(" ")  nq(10)
{res}{txt}
{com}. 
. graph export "$output/figure_binscatter_intn_fs.pdf", replace
{txt}(file /Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/output/figure_binscatter_intn_fs.pdf written in PDF format)

{com}.    
. 
{txt}end of do-file

{com}. 
. do "$scripts/tables/Table_1_treat_doors_pooled_3panel.do"
{txt}
{com}. 
. 
. use "$data/clean/clean_main_complete.dta" , replace
{txt}
{com}. 
. 
. loc experiments " any_doors  doors_wins n_intendedact  z_score_fs"
{txt}
{com}. 
.           
.                    
. preserve
{txt}
{com}. 
. clear all
{res}{txt}
{com}. eststo clear
{txt}
{com}. estimates drop _all
{txt}
{com}. 
. set obs 10
{txt}{p}
number of observations (_N)  was 0,
now 10
{p_end}

{com}. qui gen x = 1
{txt}
{com}. qui gen y = 1
{txt}
{com}. 
. loc columns = 0
{txt}
{com}. 
. foreach choice in `experiments'  {c -(}
{txt}  2{com}. 
.     loc ++columns
{txt}  3{com}.     qui eststo col`columns': reg x y
{txt}  4{com}. 
. {c )-}
{txt}
{com}. 
. restore
{txt}
{com}. 
. 
. /* Statistics */
. 
. loc colnum = 1
{txt}
{com}. loc colnames ""
{txt}
{com}. 
. 
. foreach choice in `experiments' {c -(}
{txt}  2{com}. 
. /* Statistics */
. 
.  
. ********************************Panel A*****************************************
.         
. 
.         
.  xi: reg `choice' treat_any $control , vce(r) // 
{txt}  3{com}.    
.    
.    
.     sigstar treat_any   , prec(3)
{txt}  4{com}.     estadd loc thisstat3 = "`r(bstar)'": col`colnum'
{txt}  5{com}.     estadd loc thisstat4 = "`r(sestar)'": col`colnum'
{txt}  6{com}.    
. 
.         
.         
.     loc ++colnum
{txt}  7{com}.     loc colnames "`colnames' `"`: var la `choice''"'"   
{txt}  8{com}.         
. 
.         {c )-}

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(18, 988)        =  {res}     1.20
                                                {txt}Prob > F          = {res}    0.2544
                                                {txt}R-squared         = {res}    0.0483
                                                {txt}Root MSE          =    {res} .14074

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}            any_doors{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}treat_any {c |}{col 23}{res}{space 2}  .025833{col 35}{space 2} .0071972{col 46}{space 1}    3.59{col 55}{space 3}0.000{col 63}{space 4} .0117094{col 76}{space 3} .0399566
{txt}{space 5}voice_prior_high {c |}{col 23}{res}{space 2} .0118526{col 35}{space 2}  .009046{col 46}{space 1}    1.31{col 55}{space 3}0.190{col 63}{space 4} -.005899{col 76}{space 3} .0296042
{txt}{space 15}female {c |}{col 23}{res}{space 2} .0327448{col 35}{space 2} .0150091{col 46}{space 1}    2.18{col 55}{space 3}0.029{col 63}{space 4} .0032914{col 76}{space 3} .0621982
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0013193{col 35}{space 2} .0004079{col 46}{space 1}   -3.23{col 55}{space 3}0.001{col 63}{space 4}-.0021198{col 76}{space 3}-.0005189
{txt}{space 9}party_member {c |}{col 23}{res}{space 2}-.0030122{col 35}{space 2} .0201468{col 46}{space 1}   -0.15{col 55}{space 3}0.881{col 63}{space 4}-.0425476{col 76}{space 3} .0365231
{txt}{space 9}member_years {c |}{col 23}{res}{space 2} .0001139{col 35}{space 2} .0003187{col 46}{space 1}    0.36{col 55}{space 3}0.721{col 63}{space 4}-.0005115{col 76}{space 3} .0007393
{txt}d_experience_campaign {c |}{col 23}{res}{space 2} .0069365{col 35}{space 2} .0131954{col 46}{space 1}    0.53{col 55}{space 3}0.599{col 63}{space 4}-.0189578{col 76}{space 3} .0328308
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2}-.0025427{col 35}{space 2} .0032392{col 46}{space 1}   -0.78{col 55}{space 3}0.433{col 63}{space 4}-.0088991{col 76}{space 3} .0038137
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2} .0017153{col 35}{space 2} .0043608{col 46}{space 1}    0.39{col 55}{space 3}0.694{col 63}{space 4}-.0068422{col 76}{space 3} .0102728
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.0031513{col 35}{space 2} .0045689{col 46}{space 1}   -0.69{col 55}{space 3}0.491{col 63}{space 4}-.0121171{col 76}{space 3} .0058145
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} .0082165{col 35}{space 2}  .012855{col 46}{space 1}    0.64{col 55}{space 3}0.523{col 63}{space 4}-.0170097{col 76}{space 3} .0334428
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0001862{col 35}{space 2} .0001178{col 46}{space 1}   -1.58{col 55}{space 3}0.114{col 63}{space 4}-.0004174{col 76}{space 3}  .000045
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2} -.004804{col 35}{space 2} .0146757{col 46}{space 1}   -0.33{col 55}{space 3}0.743{col 63}{space 4}-.0336031{col 76}{space 3} .0239951
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2} .0221695{col 35}{space 2} .0093317{col 46}{space 1}    2.38{col 55}{space 3}0.018{col 63}{space 4} .0038573{col 76}{space 3} .0404817
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2}-.0073033{col 35}{space 2} .0118182{col 46}{space 1}   -0.62{col 55}{space 3}0.537{col 63}{space 4}-.0304949{col 76}{space 3} .0158883
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .0089609{col 35}{space 2} .0137093{col 46}{space 1}    0.65{col 55}{space 3}0.513{col 63}{space 4}-.0179417{col 76}{space 3} .0358635
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .0036049{col 35}{space 2} .0146828{col 46}{space 1}    0.25{col 55}{space 3}0.806{col 63}{space 4}-.0252081{col 76}{space 3}  .032418
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2}-.0225772{col 35}{space 2} .0066151{col 46}{space 1}   -3.41{col 55}{space 3}0.001{col 63}{space 4}-.0355584{col 76}{space 3}-.0095959
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .0377986{col 35}{space 2} .0255165{col 46}{space 1}    1.48{col 55}{space 3}0.139{col 63}{space 4}-.0122742{col 76}{space 3} .0878714
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_any = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .025833{col 26}{space 2} .0071972{col 37}{space 1}    3.59{col 46}{space 3}0.000{col 54}{space 4} .0117094{col 67}{space 3} .0399566
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(18, 988)        =  {res}     0.95
                                                {txt}Prob > F          = {res}    0.5155
                                                {txt}R-squared         = {res}    0.0433
                                                {txt}Root MSE          =    {res} 7.3856

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}           doors_wins{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}treat_any {c |}{col 23}{res}{space 2} 1.206967{col 35}{space 2}  .352234{col 46}{space 1}    3.43{col 55}{space 3}0.001{col 63}{space 4} .5157541{col 76}{space 3}  1.89818
{txt}{space 5}voice_prior_high {c |}{col 23}{res}{space 2} .5770086{col 35}{space 2} .4708663{col 46}{space 1}    1.23{col 55}{space 3}0.221{col 63}{space 4}-.3470044{col 76}{space 3} 1.501022
{txt}{space 15}female {c |}{col 23}{res}{space 2} 1.765185{col 35}{space 2} .8382955{col 46}{space 1}    2.11{col 55}{space 3}0.035{col 63}{space 4} .1201404{col 76}{space 3} 3.410229
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0568023{col 35}{space 2}  .021576{col 46}{space 1}   -2.63{col 55}{space 3}0.009{col 63}{space 4}-.0991424{col 76}{space 3}-.0144621
{txt}{space 9}party_member {c |}{col 23}{res}{space 2} .6928492{col 35}{space 2} .4945617{col 46}{space 1}    1.40{col 55}{space 3}0.162{col 63}{space 4}-.2776629{col 76}{space 3} 1.663361
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}-.0002851{col 35}{space 2} .0167643{col 46}{space 1}   -0.02{col 55}{space 3}0.986{col 63}{space 4}-.0331828{col 76}{space 3} .0326126
{txt}d_experience_campaign {c |}{col 23}{res}{space 2}  .120935{col 35}{space 2}  .623057{col 46}{space 1}    0.19{col 55}{space 3}0.846{col 63}{space 4}-1.101732{col 76}{space 3} 1.343602
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2}-.2173798{col 35}{space 2} .1749586{col 46}{space 1}   -1.24{col 55}{space 3}0.214{col 63}{space 4}-.5607129{col 76}{space 3} .1259534
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2}-.0391545{col 35}{space 2}  .243611{col 46}{space 1}   -0.16{col 55}{space 3}0.872{col 63}{space 4} -.517209{col 76}{space 3}    .4389
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2} -.127658{col 35}{space 2} .2595061{col 46}{space 1}   -0.49{col 55}{space 3}0.623{col 63}{space 4}-.6369046{col 76}{space 3} .3815885
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} .4672379{col 35}{space 2} .5823392{col 46}{space 1}    0.80{col 55}{space 3}0.423{col 63}{space 4}-.6755258{col 76}{space 3} 1.610002
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0086873{col 35}{space 2} .0071941{col 46}{space 1}   -1.21{col 55}{space 3}0.228{col 63}{space 4}-.0228047{col 76}{space 3} .0054302
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2}-.4198202{col 35}{space 2} .7236295{col 46}{space 1}   -0.58{col 55}{space 3}0.562{col 63}{space 4}-1.839848{col 76}{space 3} 1.000207
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2} .7979064{col 35}{space 2} .4402666{col 46}{space 1}    1.81{col 55}{space 3}0.070{col 63}{space 4}-.0660587{col 76}{space 3} 1.661871
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .1163726{col 35}{space 2} .4993789{col 46}{space 1}    0.23{col 55}{space 3}0.816{col 63}{space 4}-.8635925{col 76}{space 3} 1.096338
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} 1.112088{col 35}{space 2} .8492939{col 46}{space 1}    1.31{col 55}{space 3}0.191{col 63}{space 4} -.554539{col 76}{space 3} 2.778715
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2}-.0708119{col 35}{space 2}  .746165{col 46}{space 1}   -0.09{col 55}{space 3}0.924{col 63}{space 4}-1.535062{col 76}{space 3} 1.393438
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2}  -1.1129{col 35}{space 2} .3720866{col 46}{space 1}   -2.99{col 55}{space 3}0.003{col 63}{space 4} -1.84307{col 76}{space 3}-.3827288
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .9787418{col 35}{space 2} .9023422{col 46}{space 1}    1.08{col 55}{space 3}0.278{col 63}{space 4}-.7919856{col 76}{space 3} 2.749469
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_any = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  doors_wins{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.206967{col 26}{space 2}  .352234{col 37}{space 1}    3.43{col 46}{space 3}0.001{col 54}{space 4} .5157541{col 67}{space 3}  1.89818
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(18, 945)        =  {res}    32.19
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3171
                                                {txt}Root MSE          =    {res} 1.4617

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}        n_intendedact{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}treat_any {c |}{col 23}{res}{space 2} .2087529{col 35}{space 2} .1028866{col 46}{space 1}    2.03{col 55}{space 3}0.043{col 63}{space 4} .0068403{col 76}{space 3} .4106655
{txt}{space 5}voice_prior_high {c |}{col 23}{res}{space 2} .6100196{col 35}{space 2} .1009076{col 46}{space 1}    6.05{col 55}{space 3}0.000{col 63}{space 4} .4119908{col 76}{space 3} .8080485
{txt}{space 15}female {c |}{col 23}{res}{space 2}-.0158135{col 35}{space 2} .1172681{col 46}{space 1}   -0.13{col 55}{space 3}0.893{col 63}{space 4}-.2459495{col 76}{space 3} .2143226
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0163264{col 35}{space 2} .0034266{col 46}{space 1}   -4.76{col 55}{space 3}0.000{col 63}{space 4}-.0230511{col 76}{space 3}-.0096017
{txt}{space 9}party_member {c |}{col 23}{res}{space 2} .6330649{col 35}{space 2} .2303213{col 46}{space 1}    2.75{col 55}{space 3}0.006{col 63}{space 4} .1810646{col 76}{space 3} 1.085065
{txt}{space 9}member_years {c |}{col 23}{res}{space 2} -.010714{col 35}{space 2} .0041715{col 46}{space 1}   -2.57{col 55}{space 3}0.010{col 63}{space 4}-.0189005{col 76}{space 3}-.0025276
{txt}d_experience_campaign {c |}{col 23}{res}{space 2}-1.431315{col 35}{space 2} .1942277{col 46}{space 1}   -7.37{col 55}{space 3}0.000{col 63}{space 4}-1.812482{col 76}{space 3}-1.050147
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2} .1511126{col 35}{space 2} .0698357{col 46}{space 1}    2.16{col 55}{space 3}0.031{col 63}{space 4} .0140616{col 76}{space 3} .2881637
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2}-.0393037{col 35}{space 2} .0512137{col 46}{space 1}   -0.77{col 55}{space 3}0.443{col 63}{space 4}-.1398094{col 76}{space 3}  .061202
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.0747875{col 35}{space 2} .0498995{col 46}{space 1}   -1.50{col 55}{space 3}0.134{col 63}{space 4}-.1727141{col 76}{space 3}  .023139
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} .2654986{col 35}{space 2} .1216602{col 46}{space 1}    2.18{col 55}{space 3}0.029{col 63}{space 4} .0267431{col 76}{space 3}  .504254
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0014075{col 35}{space 2} .0020019{col 46}{space 1}   -0.70{col 55}{space 3}0.482{col 63}{space 4}-.0053363{col 76}{space 3} .0025212
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2}  .483678{col 35}{space 2} .1287566{col 46}{space 1}    3.76{col 55}{space 3}0.000{col 63}{space 4}  .230996{col 76}{space 3}   .73636
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2}  .394801{col 35}{space 2} .1473306{col 46}{space 1}    2.68{col 55}{space 3}0.007{col 63}{space 4} .1056681{col 76}{space 3}  .683934
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .8339835{col 35}{space 2} .1144804{col 46}{space 1}    7.28{col 55}{space 3}0.000{col 63}{space 4} .6093182{col 76}{space 3} 1.058649
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .4216136{col 35}{space 2}  .155537{col 46}{space 1}    2.71{col 55}{space 3}0.007{col 63}{space 4} .1163758{col 76}{space 3} .7268515
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .8099408{col 35}{space 2} .1283054{col 46}{space 1}    6.31{col 55}{space 3}0.000{col 63}{space 4} .5581443{col 76}{space 3} 1.061737
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2}-.0986575{col 35}{space 2} .1654685{col 46}{space 1}   -0.60{col 55}{space 3}0.551{col 63}{space 4}-.4233858{col 76}{space 3} .2260708
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 2.000574{col 35}{space 2} .2838007{col 46}{space 1}    7.05{col 55}{space 3}0.000{col 63}{space 4} 1.443621{col 76}{space 3} 2.557526
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_any = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}n_intended~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .2087529{col 26}{space 2} .1028866{col 37}{space 1}    2.03{col 46}{space 3}0.043{col 54}{space 4} .0068403{col 67}{space 3} .4106655
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(18, 936)        =  {res}    31.63
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3723
                                                {txt}Root MSE          =    {res}  .7959

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}           z_score_fs{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}treat_any {c |}{col 23}{res}{space 2} .0818945{col 35}{space 2} .0575113{col 46}{space 1}    1.42{col 55}{space 3}0.155{col 63}{space 4}-.0309714{col 76}{space 3} .1947605
{txt}{space 5}voice_prior_high {c |}{col 23}{res}{space 2}  1.07823{col 35}{space 2} .0609527{col 46}{space 1}   17.69{col 55}{space 3}0.000{col 63}{space 4} .9586106{col 76}{space 3}  1.19785
{txt}{space 15}female {c |}{col 23}{res}{space 2} .0055227{col 35}{space 2} .0648385{col 46}{space 1}    0.09{col 55}{space 3}0.932{col 63}{space 4}-.1217231{col 76}{space 3} .1327684
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0018768{col 35}{space 2} .0021119{col 46}{space 1}   -0.89{col 55}{space 3}0.374{col 63}{space 4}-.0060214{col 76}{space 3} .0022679
{txt}{space 9}party_member {c |}{col 23}{res}{space 2} -.069495{col 35}{space 2} .1710045{col 46}{space 1}   -0.41{col 55}{space 3}0.685{col 63}{space 4}-.4050917{col 76}{space 3} .2661017
{txt}{space 9}member_years {c |}{col 23}{res}{space 2} .0008314{col 35}{space 2} .0024626{col 46}{space 1}    0.34{col 55}{space 3}0.736{col 63}{space 4}-.0040014{col 76}{space 3} .0056643
{txt}d_experience_campaign {c |}{col 23}{res}{space 2}-.2040862{col 35}{space 2} .1481535{col 46}{space 1}   -1.38{col 55}{space 3}0.169{col 63}{space 4}-.4948377{col 76}{space 3} .0866653
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2} .1778914{col 35}{space 2} .0728643{col 46}{space 1}    2.44{col 55}{space 3}0.015{col 63}{space 4} .0348951{col 76}{space 3} .3208877
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2} .0074032{col 35}{space 2} .0356732{col 46}{space 1}    0.21{col 55}{space 3}0.836{col 63}{space 4}-.0626055{col 76}{space 3} .0774119
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.0751356{col 35}{space 2} .0333158{col 46}{space 1}   -2.26{col 55}{space 3}0.024{col 63}{space 4}-.1405178{col 76}{space 3}-.0097534
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2}-.0370871{col 35}{space 2} .0723794{col 46}{space 1}   -0.51{col 55}{space 3}0.608{col 63}{space 4}-.1791317{col 76}{space 3} .1049576
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0016933{col 35}{space 2} .0007461{col 46}{space 1}   -2.27{col 55}{space 3}0.023{col 63}{space 4}-.0031576{col 76}{space 3} -.000229
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2} .0332531{col 35}{space 2} .0795432{col 46}{space 1}    0.42{col 55}{space 3}0.676{col 63}{space 4}-.1228505{col 76}{space 3} .1893567
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2} .0314648{col 35}{space 2} .1127189{col 46}{space 1}    0.28{col 55}{space 3}0.780{col 63}{space 4}-.1897463{col 76}{space 3} .2526759
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .0453576{col 35}{space 2} .0641104{col 46}{space 1}    0.71{col 55}{space 3}0.479{col 63}{space 4}-.0804592{col 76}{space 3} .1711744
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .1151754{col 35}{space 2} .0702035{col 46}{space 1}    1.64{col 55}{space 3}0.101{col 63}{space 4} -.022599{col 76}{space 3} .2529499
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .0291187{col 35}{space 2} .0935086{col 46}{space 1}    0.31{col 55}{space 3}0.756{col 63}{space 4}-.1543921{col 76}{space 3} .2126295
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2} .0426354{col 35}{space 2} .0764894{col 46}{space 1}    0.56{col 55}{space 3}0.577{col 63}{space 4}-.1074753{col 76}{space 3}  .192746
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-.2307654{col 35}{space 2} .2003583{col 46}{space 1}   -1.15{col 55}{space 3}0.250{col 63}{space 4}-.6239689{col 76}{space 3} .1624381
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_any = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0818945{col 26}{space 2} .0575113{col 37}{space 1}    1.42{col 46}{space 3}0.155{col 54}{space 4}-.0309714{col 67}{space 3} .1947605
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         /* Statistics */
. 
. loc colnum = 1
{txt}
{com}. loc colnames ""
{txt}
{com}. 
. 
. foreach choice in `experiments' {c -(}
{txt}  2{com}. 
. /* Statistics */
. 
. 
. 
.  
.  
. ********************************Panel B*****************************************
.         
. 
.         
.    
.     xi: reg `choice'  voice_instrumental_pooled  voice_intrinsic_pooled  $control , vce(r) // 
{txt}  3{com}.    
.    
.     sigstar  voice_instrumental_pooled   , prec(3)
{txt}  4{com}.     estadd loc thisstat8 = "`r(bstar)'": col`colnum'
{txt}  5{com}.     estadd loc thisstat9 = "`r(sestar)'": col`colnum'
{txt}  6{com}.    
.         sigstar voice_intrinsic_pooled  , prec(3)
{txt}  7{com}.     estadd loc thisstat11 = "`r(bstar)'": col`colnum'
{txt}  8{com}.     estadd loc thisstat12 = "`r(sestar)'": col`colnum'
{txt}  9{com}. 
.    
.    
.    
.         test    voice_instrumental_pooled = voice_intrinsic_pooled  
{txt} 10{com}.     estadd loc thisstat14 = string(`r(p)', "%9.2f"): col`colnum'
{txt} 11{com}. 
. 
.     loc ++colnum
{txt} 12{com}. 
. 
.         {c )-}

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(19, 987)        =  {res}     1.14
                                                {txt}Prob > F          = {res}    0.3046
                                                {txt}R-squared         = {res}    0.0489
                                                {txt}Root MSE          =    {res} .14076

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                any_doors{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} .0303676{col 39}{space 2} .0101666{col 50}{space 1}    2.99{col 59}{space 3}0.003{col 67}{space 4} .0104169{col 80}{space 3} .0503182
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2} .0212948{col 39}{space 2} .0092397{col 50}{space 1}    2.30{col 59}{space 3}0.021{col 67}{space 4} .0031631{col 80}{space 3} .0394264
{txt}{space 9}voice_prior_high {c |}{col 27}{res}{space 2} .0121332{col 39}{space 2}  .009085{col 50}{space 1}    1.34{col 59}{space 3}0.182{col 67}{space 4}-.0056949{col 80}{space 3} .0299614
{txt}{space 19}female {c |}{col 27}{res}{space 2} .0328782{col 39}{space 2} .0150456{col 50}{space 1}    2.19{col 59}{space 3}0.029{col 67}{space 4} .0033532{col 80}{space 3} .0624031
{txt}{space 22}age {c |}{col 27}{res}{space 2}-.0013433{col 39}{space 2} .0004047{col 50}{space 1}   -3.32{col 59}{space 3}0.001{col 67}{space 4}-.0021375{col 80}{space 3} -.000549
{txt}{space 13}party_member {c |}{col 27}{res}{space 2}-.0043386{col 39}{space 2} .0205946{col 50}{space 1}   -0.21{col 59}{space 3}0.833{col 67}{space 4}-.0447529{col 80}{space 3} .0360756
{txt}{space 13}member_years {c |}{col 27}{res}{space 2} .0001306{col 39}{space 2} .0003201{col 50}{space 1}    0.41{col 59}{space 3}0.683{col 67}{space 4}-.0004976{col 80}{space 3} .0007588
{txt}{space 4}d_experience_campaign {c |}{col 27}{res}{space 2} .0076965{col 39}{space 2} .0134007{col 50}{space 1}    0.57{col 59}{space 3}0.566{col 67}{space 4}-.0186007{col 80}{space 3} .0339937
{txt}{space 14}z_votes_own {c |}{col 27}{res}{space 2}-.0025929{col 39}{space 2} .0032546{col 50}{space 1}   -0.80{col 59}{space 3}0.426{col 67}{space 4}-.0089796{col 80}{space 3} .0037938
{txt}{space 10}z_votes_other_1 {c |}{col 27}{res}{space 2} .0016005{col 39}{space 2} .0043593{col 50}{space 1}    0.37{col 59}{space 3}0.714{col 67}{space 4}-.0069541{col 80}{space 3} .0101552
{txt}{space 10}z_votes_other_2 {c |}{col 27}{res}{space 2}-.0029237{col 39}{space 2} .0045307{col 50}{space 1}   -0.65{col 59}{space 3}0.519{col 67}{space 4}-.0118146{col 80}{space 3} .0059673
{txt}{space 11}pre_doortodoor {c |}{col 27}{res}{space 2} .0080696{col 39}{space 2} .0127985{col 50}{space 1}    0.63{col 59}{space 3}0.529{col 67}{space 4}-.0170459{col 80}{space 3}  .033185
{txt}{space 6}pre_days_doortodoor {c |}{col 27}{res}{space 2}-.0001792{col 39}{space 2} .0001167{col 50}{space 1}   -1.54{col 59}{space 3}0.125{col 67}{space 4}-.0004082{col 80}{space 3} .0000499
{txt}{space 14}pre_posters {c |}{col 27}{res}{space 2}-.0053859{col 39}{space 2} .0147204{col 50}{space 1}   -0.37{col 59}{space 3}0.715{col 67}{space 4}-.0342728{col 80}{space 3} .0235009
{txt}{space 16}pre_booth {c |}{col 27}{res}{space 2} .0220902{col 39}{space 2} .0093398{col 50}{space 1}    2.37{col 59}{space 3}0.018{col 67}{space 4} .0037621{col 80}{space 3} .0404183
{txt}{space 15}pre_online {c |}{col 27}{res}{space 2}-.0077554{col 39}{space 2} .0117258{col 50}{space 1}   -0.66{col 59}{space 3}0.509{col 67}{space 4}-.0307657{col 80}{space 3} .0152549
{txt}{space 17}pre_call {c |}{col 27}{res}{space 2} .0094409{col 39}{space 2} .0136555{col 50}{space 1}    0.69{col 59}{space 3}0.490{col 67}{space 4}-.0173563{col 80}{space 3}  .036238
{txt}{space 14}pre_friends {c |}{col 27}{res}{space 2} .0034883{col 39}{space 2} .0146843{col 50}{space 1}    0.24{col 59}{space 3}0.812{col 67}{space 4}-.0253278{col 80}{space 3} .0323044
{txt}{space 15}pre_others {c |}{col 27}{res}{space 2}-.0230298{col 39}{space 2} .0067241{col 50}{space 1}   -3.42{col 59}{space 3}0.001{col 67}{space 4} -.036225{col 80}{space 3}-.0098346
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .0398183{col 39}{space 2} .0256708{col 50}{space 1}    1.55{col 59}{space 3}0.121{col 67}{space 4}-.0105574{col 80}{space 3}  .090194
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0303676{col 26}{space 2} .0101666{col 37}{space 1}    2.99{col 46}{space 3}0.003{col 54}{space 4} .0104169{col 67}{space 3} .0503182
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0212948{col 26}{space 2} .0092397{col 37}{space 1}    2.30{col 46}{space 3}0.021{col 54}{space 4} .0031631{col 67}{space 3} .0394264
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,   987) ={res}    0.48
{txt}{col 13}Prob > F ={res}    0.4868

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(19, 987)        =  {res}     0.91
                                                {txt}Prob > F          = {res}    0.5742
                                                {txt}R-squared         = {res}    0.0438
                                                {txt}Root MSE          =    {res} 7.3872

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}               doors_wins{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} 1.423628{col 39}{space 2} .5229933{col 50}{space 1}    2.72{col 59}{space 3}0.007{col 67}{space 4} .3973213{col 80}{space 3} 2.449934
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2} .9901317{col 39}{space 2} .4620709{col 50}{space 1}    2.14{col 59}{space 3}0.032{col 67}{space 4} .0833774{col 80}{space 3} 1.896886
{txt}{space 9}voice_prior_high {c |}{col 27}{res}{space 2} .5904152{col 39}{space 2} .4729995{col 50}{space 1}    1.25{col 59}{space 3}0.212{col 67}{space 4}-.3377851{col 80}{space 3} 1.518615
{txt}{space 19}female {c |}{col 27}{res}{space 2} 1.771556{col 39}{space 2} .8391676{col 50}{space 1}    2.11{col 59}{space 3}0.035{col 67}{space 4} .1247982{col 80}{space 3} 3.418313
{txt}{space 22}age {c |}{col 27}{res}{space 2}-.0579451{col 39}{space 2} .0212188{col 50}{space 1}   -2.73{col 59}{space 3}0.006{col 67}{space 4}-.0995842{col 80}{space 3} -.016306
{txt}{space 13}party_member {c |}{col 27}{res}{space 2} .6294742{col 39}{space 2}  .501154{col 50}{space 1}    1.26{col 59}{space 3}0.209{col 67}{space 4}-.3539756{col 80}{space 3} 1.612924
{txt}{space 13}member_years {c |}{col 27}{res}{space 2} .0005126{col 39}{space 2} .0169171{col 50}{space 1}    0.03{col 59}{space 3}0.976{col 67}{space 4} -.032685{col 80}{space 3} .0337101
{txt}{space 4}d_experience_campaign {c |}{col 27}{res}{space 2} .1572464{col 39}{space 2} .6321838{col 50}{space 1}    0.25{col 59}{space 3}0.804{col 67}{space 4}-1.083332{col 80}{space 3} 1.397825
{txt}{space 14}z_votes_own {c |}{col 27}{res}{space 2}-.2197797{col 39}{space 2} .1756098{col 50}{space 1}   -1.25{col 59}{space 3}0.211{col 67}{space 4}-.5643912{col 80}{space 3} .1248318
{txt}{space 10}z_votes_other_1 {c |}{col 27}{res}{space 2}-.0446404{col 39}{space 2} .2450707{col 50}{space 1}   -0.18{col 59}{space 3}0.855{col 67}{space 4}-.5255599{col 80}{space 3} .4362791
{txt}{space 10}z_votes_other_2 {c |}{col 27}{res}{space 2}-.1167797{col 39}{space 2}  .258833{col 50}{space 1}   -0.45{col 59}{space 3}0.652{col 67}{space 4}-.6247059{col 80}{space 3} .3911464
{txt}{space 11}pre_doortodoor {c |}{col 27}{res}{space 2}  .460215{col 39}{space 2} .5777383{col 50}{space 1}    0.80{col 59}{space 3}0.426{col 67}{space 4}-.6735215{col 80}{space 3} 1.593951
{txt}{space 6}pre_days_doortodoor {c |}{col 27}{res}{space 2}-.0083505{col 39}{space 2} .0071518{col 50}{space 1}   -1.17{col 59}{space 3}0.243{col 67}{space 4} -.022385{col 80}{space 3}  .005684
{txt}{space 14}pre_posters {c |}{col 27}{res}{space 2}-.4476256{col 39}{space 2}  .737355{col 50}{space 1}   -0.61{col 59}{space 3}0.544{col 67}{space 4}-1.894589{col 80}{space 3} .9993379
{txt}{space 16}pre_booth {c |}{col 27}{res}{space 2} .7941168{col 39}{space 2} .4405581{col 50}{space 1}    1.80{col 59}{space 3}0.072{col 67}{space 4}-.0704214{col 80}{space 3} 1.658655
{txt}{space 15}pre_online {c |}{col 27}{res}{space 2} .0947698{col 39}{space 2} .4938326{col 50}{space 1}    0.19{col 59}{space 3}0.848{col 67}{space 4}-.8743127{col 80}{space 3} 1.063852
{txt}{space 17}pre_call {c |}{col 27}{res}{space 2}  1.13502{col 39}{space 2} .8451052{col 50}{space 1}    1.34{col 59}{space 3}0.180{col 67}{space 4}-.5233892{col 80}{space 3} 2.793429
{txt}{space 14}pre_friends {c |}{col 27}{res}{space 2}-.0763852{col 39}{space 2} .7456612{col 50}{space 1}   -0.10{col 59}{space 3}0.918{col 67}{space 4}-1.539649{col 80}{space 3} 1.386878
{txt}{space 15}pre_others {c |}{col 27}{res}{space 2}-1.134525{col 39}{space 2}   .37933{col 50}{space 1}   -2.99{col 59}{space 3}0.003{col 67}{space 4}-1.878911{col 80}{space 3} -.390139
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 1.075239{col 39}{space 2} .8679855{col 50}{space 1}    1.24{col 59}{space 3}0.216{col 67}{space 4}-.6280703{col 80}{space 3} 2.778548
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  doors_wins{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.423628{col 26}{space 2} .5229933{col 37}{space 1}    2.72{col 46}{space 3}0.007{col 54}{space 4} .3973213{col 67}{space 3} 2.449934
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  doors_wins{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .9901317{col 26}{space 2} .4620709{col 37}{space 1}    2.14{col 46}{space 3}0.032{col 54}{space 4} .0833774{col 67}{space 3} 1.896886
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,   987) ={res}    0.39
{txt}{col 13}Prob > F ={res}    0.5306

{txt}Linear regression                               Number of obs     = {res}       964
                                                {txt}F(19, 944)        =  {res}    30.54
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3173
                                                {txt}Root MSE          =    {res} 1.4622

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}            n_intendedact{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2}  .239818{col 39}{space 2} .1167685{col 50}{space 1}    2.05{col 59}{space 3}0.040{col 67}{space 4} .0106621{col 80}{space 3} .4689738
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2} .1780023{col 39}{space 2} .1188004{col 50}{space 1}    1.50{col 59}{space 3}0.134{col 67}{space 4}-.0551411{col 80}{space 3} .4111458
{txt}{space 9}voice_prior_high {c |}{col 27}{res}{space 2} .6108974{col 39}{space 2} .1010822{col 50}{space 1}    6.04{col 59}{space 3}0.000{col 67}{space 4} .4125256{col 80}{space 3} .8092692
{txt}{space 19}female {c |}{col 27}{res}{space 2}-.0146439{col 39}{space 2} .1172643{col 50}{space 1}   -0.12{col 59}{space 3}0.901{col 67}{space 4}-.2447727{col 80}{space 3} .2154849
{txt}{space 22}age {c |}{col 27}{res}{space 2}-.0165038{col 39}{space 2}   .00345{col 50}{space 1}   -4.78{col 59}{space 3}0.000{col 67}{space 4}-.0232744{col 80}{space 3}-.0097332
{txt}{space 13}party_member {c |}{col 27}{res}{space 2}  .626067{col 39}{space 2} .2305093{col 50}{space 1}    2.72{col 59}{space 3}0.007{col 67}{space 4}  .173697{col 80}{space 3} 1.078437
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}-.0105875{col 39}{space 2} .0041757{col 50}{space 1}   -2.54{col 59}{space 3}0.011{col 67}{space 4}-.0187822{col 80}{space 3}-.0023928
{txt}{space 4}d_experience_campaign {c |}{col 27}{res}{space 2}-1.425097{col 39}{space 2} .1952794{col 50}{space 1}   -7.30{col 59}{space 3}0.000{col 67}{space 4}-1.808329{col 80}{space 3}-1.041865
{txt}{space 14}z_votes_own {c |}{col 27}{res}{space 2} .1508959{col 39}{space 2} .0700204{col 50}{space 1}    2.16{col 59}{space 3}0.031{col 67}{space 4} .0134822{col 80}{space 3} .2883096
{txt}{space 10}z_votes_other_1 {c |}{col 27}{res}{space 2}  -.03986{col 39}{space 2} .0512254{col 50}{space 1}   -0.78{col 59}{space 3}0.437{col 67}{space 4}-.1403889{col 80}{space 3} .0606688
{txt}{space 10}z_votes_other_2 {c |}{col 27}{res}{space 2}-.0730313{col 39}{space 2} .0497087{col 50}{space 1}   -1.47{col 59}{space 3}0.142{col 67}{space 4}-.1705836{col 80}{space 3} .0245209
{txt}{space 11}pre_doortodoor {c |}{col 27}{res}{space 2} .2643606{col 39}{space 2} .1218535{col 50}{space 1}    2.17{col 59}{space 3}0.030{col 67}{space 4} .0252255{col 80}{space 3} .5034958
{txt}{space 6}pre_days_doortodoor {c |}{col 27}{res}{space 2}-.0013694{col 39}{space 2}  .002007{col 50}{space 1}   -0.68{col 59}{space 3}0.495{col 67}{space 4}-.0053081{col 80}{space 3} .0025694
{txt}{space 14}pre_posters {c |}{col 27}{res}{space 2} .4797608{col 39}{space 2} .1290784{col 50}{space 1}    3.72{col 59}{space 3}0.000{col 67}{space 4}  .226447{col 80}{space 3} .7330747
{txt}{space 16}pre_booth {c |}{col 27}{res}{space 2} .3944217{col 39}{space 2} .1479488{col 50}{space 1}    2.67{col 59}{space 3}0.008{col 67}{space 4} .1040752{col 80}{space 3} .6847682
{txt}{space 15}pre_online {c |}{col 27}{res}{space 2} .8308105{col 39}{space 2} .1147167{col 50}{space 1}    7.24{col 59}{space 3}0.000{col 67}{space 4} .6056813{col 80}{space 3}  1.05594
{txt}{space 17}pre_call {c |}{col 27}{res}{space 2} .4238138{col 39}{space 2} .1551374{col 50}{space 1}    2.73{col 59}{space 3}0.006{col 67}{space 4} .1193596{col 80}{space 3} .7282679
{txt}{space 14}pre_friends {c |}{col 27}{res}{space 2} .8086147{col 39}{space 2}  .128657{col 50}{space 1}    6.29{col 59}{space 3}0.000{col 67}{space 4} .5561278{col 80}{space 3} 1.061101
{txt}{space 15}pre_others {c |}{col 27}{res}{space 2}-.1013137{col 39}{space 2} .1655649{col 50}{space 1}   -0.61{col 59}{space 3}0.541{col 67}{space 4}-.4262316{col 80}{space 3} .2236042
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 2.013056{col 39}{space 2} .2850656{col 50}{space 1}    7.06{col 59}{space 3}0.000{col 67}{space 4}  1.45362{col 80}{space 3} 2.572491
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}n_intended~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .239818{col 26}{space 2} .1167685{col 37}{space 1}    2.05{col 46}{space 3}0.040{col 54}{space 4} .0106621{col 67}{space 3} .4689738
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}n_intended~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1780023{col 26}{space 2} .1188004{col 37}{space 1}    1.50{col 46}{space 3}0.134{col 54}{space 4}-.0551411{col 67}{space 3} .4111458
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,   944) ={res}    0.29
{txt}{col 13}Prob > F ={res}    0.5895

{txt}Linear regression                               Number of obs     = {res}       955
                                                {txt}F(19, 935)        =  {res}    29.98
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3741
                                                {txt}Root MSE          =    {res} .79521

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}               z_score_fs{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} .1339886{col 39}{space 2} .0657341{col 50}{space 1}    2.04{col 59}{space 3}0.042{col 67}{space 4} .0049852{col 80}{space 3} .2629919
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2} .0302306{col 39}{space 2} .0649927{col 50}{space 1}    0.47{col 59}{space 3}0.642{col 67}{space 4}-.0973177{col 80}{space 3}  .157779
{txt}{space 9}voice_prior_high {c |}{col 27}{res}{space 2} 1.080035{col 39}{space 2}   .06109{col 50}{space 1}   17.68{col 59}{space 3}0.000{col 67}{space 4} .9601461{col 80}{space 3} 1.199925
{txt}{space 19}female {c |}{col 27}{res}{space 2} .0072481{col 39}{space 2} .0648349{col 50}{space 1}    0.11{col 59}{space 3}0.911{col 67}{space 4}-.1199907{col 80}{space 3}  .134487
{txt}{space 22}age {c |}{col 27}{res}{space 2}-.0021529{col 39}{space 2} .0021211{col 50}{space 1}   -1.01{col 59}{space 3}0.310{col 67}{space 4}-.0063156{col 80}{space 3} .0020098
{txt}{space 13}party_member {c |}{col 27}{res}{space 2} -.078981{col 39}{space 2} .1706243{col 50}{space 1}   -0.46{col 59}{space 3}0.644{col 67}{space 4}-.4138319{col 80}{space 3} .2558699
{txt}{space 13}member_years {c |}{col 27}{res}{space 2} .0009928{col 39}{space 2} .0024659{col 50}{space 1}    0.40{col 59}{space 3}0.687{col 67}{space 4}-.0038465{col 80}{space 3}  .005832
{txt}{space 4}d_experience_campaign {c |}{col 27}{res}{space 2}-.1922697{col 39}{space 2} .1484176{col 50}{space 1}   -1.30{col 59}{space 3}0.195{col 67}{space 4}  -.48354{col 80}{space 3} .0990005
{txt}{space 14}z_votes_own {c |}{col 27}{res}{space 2} .1771425{col 39}{space 2} .0730085{col 50}{space 1}    2.43{col 59}{space 3}0.015{col 67}{space 4}  .033863{col 80}{space 3} .3204221
{txt}{space 10}z_votes_other_1 {c |}{col 27}{res}{space 2} .0066932{col 39}{space 2} .0355534{col 50}{space 1}    0.19{col 59}{space 3}0.851{col 67}{space 4}-.0630805{col 80}{space 3} .0764668
{txt}{space 10}z_votes_other_2 {c |}{col 27}{res}{space 2}-.0723413{col 39}{space 2}  .033008{col 50}{space 1}   -2.19{col 59}{space 3}0.029{col 67}{space 4}-.1371195{col 80}{space 3} -.007563
{txt}{space 11}pre_doortodoor {c |}{col 27}{res}{space 2}-.0390935{col 39}{space 2} .0725664{col 50}{space 1}   -0.54{col 59}{space 3}0.590{col 67}{space 4}-.1815054{col 80}{space 3} .1033184
{txt}{space 6}pre_days_doortodoor {c |}{col 27}{res}{space 2}-.0016159{col 39}{space 2} .0007468{col 50}{space 1}   -2.16{col 59}{space 3}0.031{col 67}{space 4}-.0030815{col 80}{space 3}-.0001504
{txt}{space 14}pre_posters {c |}{col 27}{res}{space 2} .0260311{col 39}{space 2} .0797223{col 50}{space 1}    0.33{col 59}{space 3}0.744{col 67}{space 4}-.1304242{col 80}{space 3} .1824864
{txt}{space 16}pre_booth {c |}{col 27}{res}{space 2} .0313134{col 39}{space 2}  .112962{col 50}{space 1}    0.28{col 59}{space 3}0.782{col 67}{space 4} -.190375{col 80}{space 3} .2530018
{txt}{space 15}pre_online {c |}{col 27}{res}{space 2} .0400608{col 39}{space 2} .0642766{col 50}{space 1}    0.62{col 59}{space 3}0.533{col 67}{space 4}-.0860822{col 80}{space 3} .1662038
{txt}{space 17}pre_call {c |}{col 27}{res}{space 2} .1194677{col 39}{space 2} .0699158{col 50}{space 1}    1.71{col 59}{space 3}0.088{col 67}{space 4}-.0177423{col 80}{space 3} .2566777
{txt}{space 14}pre_friends {c |}{col 27}{res}{space 2} .0264095{col 39}{space 2} .0934963{col 50}{space 1}    0.28{col 59}{space 3}0.778{col 67}{space 4}-.1570774{col 80}{space 3} .2098963
{txt}{space 15}pre_others {c |}{col 27}{res}{space 2} .0378033{col 39}{space 2} .0763107{col 50}{space 1}    0.50{col 59}{space 3}0.620{col 67}{space 4}-.1119567{col 80}{space 3} .1875634
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-.2131072{col 39}{space 2} .2002577{col 50}{space 1}   -1.06{col 59}{space 3}0.288{col 67}{space 4}-.6061139{col 80}{space 3} .1798994
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1339886{col 26}{space 2} .0657341{col 37}{space 1}    2.04{col 46}{space 3}0.042{col 54}{space 4} .0049852{col 67}{space 3} .2629919
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0302306{col 26}{space 2} .0649927{col 37}{space 1}    0.47{col 46}{space 3}0.642{col 54}{space 4}-.0973177{col 67}{space 3}  .157779
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,   935) ={res}    2.81
{txt}{col 13}Prob > F ={res}    0.0940
{txt}
{com}.         
. 
.         /* Statistics */
. 
. loc colnum = 1
{txt}
{com}. loc colnames ""
{txt}
{com}. 
. 
. foreach choice in `experiments' {c -(}
{txt}  2{com}. 
. /* Statistics */
. 
. 
. 
.  
.  
. ********************************Panel A*****************************************
. 
.         
.  xi: reg `choice' feedback_pooled  no_feedback_pooled   $control  , vce(r) // 
{txt}  3{com}.    
.          
.    
.     
.     sigstar feedback_pooled   , prec(3)
{txt}  4{com}.     estadd loc thisstat18 = "`r(bstar)'": col`colnum'
{txt}  5{com}.     estadd loc thisstat19 = "`r(sestar)'": col`colnum'
{txt}  6{com}.    
.     sigstar no_feedback_pooled , prec(3)
{txt}  7{com}.     estadd loc thisstat21 = "`r(bstar)'": col`colnum'
{txt}  8{com}.     estadd loc thisstat22 = "`r(sestar)'": col`colnum'
{txt}  9{com}.         
.                 
.         test     feedback_pooled  = no_feedback_pooled
{txt} 10{com}. 
.         estadd loc thisstat24 = string(`r(p)', "%9.2f"): col`colnum'
{txt} 11{com}.                  
.         qui sum `choice' if control==1
{txt} 12{com}.         estadd loc thisstat25 = string(`r(mean)', "%9.2f"): col`colnum'
{txt} 13{com}.         
.         qui sum `choice' 
{txt} 14{com}.     estadd loc thisstat26 = string(`r(N)', "%9.0f"): col`colnum'
{txt} 15{com}.         
.         
.                 qui sum `choice' 
{txt} 16{com}.     estadd loc thisstat27 = "X": col`colnum'
{txt} 17{com}. 
. 
.         
.     loc ++colnum
{txt} 18{com}. 
.         {c )-}

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(19, 987)        =  {res}     1.14
                                                {txt}Prob > F          = {res}    0.3078
                                                {txt}R-squared         = {res}    0.0483
                                                {txt}Root MSE          =    {res} .14081

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}            any_doors{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}feedback_pooled {c |}{col 23}{res}{space 2}  .024868{col 35}{space 2}  .009955{col 46}{space 1}    2.50{col 55}{space 3}0.013{col 63}{space 4} .0053327{col 76}{space 3} .0444033
{txt}{space 3}no_feedback_pooled {c |}{col 23}{res}{space 2} .0267752{col 35}{space 2} .0093183{col 46}{space 1}    2.87{col 55}{space 3}0.004{col 63}{space 4} .0084894{col 76}{space 3} .0450611
{txt}{space 5}voice_prior_high {c |}{col 23}{res}{space 2}  .011827{col 35}{space 2} .0090556{col 46}{space 1}    1.31{col 55}{space 3}0.192{col 63}{space 4}-.0059434{col 76}{space 3} .0295974
{txt}{space 15}female {c |}{col 23}{res}{space 2} .0327754{col 35}{space 2} .0150043{col 46}{space 1}    2.18{col 55}{space 3}0.029{col 63}{space 4} .0033315{col 76}{space 3} .0622193
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0013217{col 35}{space 2} .0004082{col 46}{space 1}   -3.24{col 55}{space 3}0.001{col 63}{space 4}-.0021227{col 76}{space 3}-.0005207
{txt}{space 9}party_member {c |}{col 23}{res}{space 2}-.0030604{col 35}{space 2} .0202137{col 46}{space 1}   -0.15{col 55}{space 3}0.880{col 63}{space 4}-.0427271{col 76}{space 3} .0366063
{txt}{space 9}member_years {c |}{col 23}{res}{space 2} .0001167{col 35}{space 2} .0003169{col 46}{space 1}    0.37{col 55}{space 3}0.713{col 63}{space 4}-.0005053{col 76}{space 3} .0007386
{txt}d_experience_campaign {c |}{col 23}{res}{space 2} .0068918{col 35}{space 2} .0132072{col 46}{space 1}    0.52{col 55}{space 3}0.602{col 63}{space 4}-.0190256{col 76}{space 3} .0328092
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2}-.0025552{col 35}{space 2} .0032532{col 46}{space 1}   -0.79{col 55}{space 3}0.432{col 63}{space 4}-.0089391{col 76}{space 3} .0038288
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2} .0017024{col 35}{space 2} .0043472{col 46}{space 1}    0.39{col 55}{space 3}0.695{col 63}{space 4}-.0068283{col 76}{space 3} .0102332
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.0031739{col 35}{space 2} .0046073{col 46}{space 1}   -0.69{col 55}{space 3}0.491{col 63}{space 4} -.012215{col 76}{space 3} .0058673
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} .0082538{col 35}{space 2} .0128479{col 46}{space 1}    0.64{col 55}{space 3}0.521{col 63}{space 4}-.0169586{col 76}{space 3} .0334662
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0001861{col 35}{space 2} .0001178{col 46}{space 1}   -1.58{col 55}{space 3}0.114{col 63}{space 4}-.0004172{col 76}{space 3}  .000045
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2}-.0048514{col 35}{space 2} .0145466{col 46}{space 1}   -0.33{col 55}{space 3}0.739{col 63}{space 4}-.0333971{col 76}{space 3} .0236943
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2} .0223277{col 35}{space 2} .0094213{col 46}{space 1}    2.37{col 55}{space 3}0.018{col 63}{space 4} .0038397{col 76}{space 3} .0408157
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2}-.0074027{col 35}{space 2} .0117041{col 46}{space 1}   -0.63{col 55}{space 3}0.527{col 63}{space 4}-.0303704{col 76}{space 3}  .015565
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .0089102{col 35}{space 2} .0138274{col 46}{space 1}    0.64{col 55}{space 3}0.519{col 63}{space 4}-.0182242{col 76}{space 3} .0360445
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .0036768{col 35}{space 2} .0145355{col 46}{space 1}    0.25{col 55}{space 3}0.800{col 63}{space 4}-.0248473{col 76}{space 3} .0322009
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2}-.0225679{col 35}{space 2} .0066348{col 46}{space 1}   -3.40{col 55}{space 3}0.001{col 63}{space 4}-.0355877{col 76}{space 3} -.009548
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .0378556{col 35}{space 2} .0255847{col 46}{space 1}    1.48{col 55}{space 3}0.139{col 63}{space 4}-.0123511{col 76}{space 3} .0880623
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .024868{col 26}{space 2}  .009955{col 37}{space 1}    2.50{col 46}{space 3}0.013{col 54}{space 4} .0053327{col 67}{space 3} .0444033
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}no_feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0267752{col 26}{space 2} .0093183{col 37}{space 1}    2.87{col 46}{space 3}0.004{col 54}{space 4} .0084894{col 67}{space 3} .0450611
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}feedback_pooled - no_feedback_pooled = 0{p_end}

{txt}       F(  1,   987) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8817

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(19, 987)        =  {res}     0.91
                                                {txt}Prob > F          = {res}    0.5690
                                                {txt}R-squared         = {res}    0.0435
                                                {txt}Root MSE          =    {res} 7.3883

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}           doors_wins{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}feedback_pooled {c |}{col 23}{res}{space 2} 1.360461{col 35}{space 2}  .540871{col 46}{space 1}    2.52{col 55}{space 3}0.012{col 63}{space 4} .2990717{col 76}{space 3}  2.42185
{txt}{space 3}no_feedback_pooled {c |}{col 23}{res}{space 2} 1.057106{col 35}{space 2} .4394738{col 46}{space 1}    2.41{col 55}{space 3}0.016{col 63}{space 4} .1946951{col 76}{space 3} 1.919516
{txt}{space 5}voice_prior_high {c |}{col 23}{res}{space 2} .5810894{col 35}{space 2} .4725233{col 46}{space 1}    1.23{col 55}{space 3}0.219{col 63}{space 4}-.3461763{col 76}{space 3} 1.508355
{txt}{space 15}female {c |}{col 23}{res}{space 2} 1.760317{col 35}{space 2} .8338864{col 46}{space 1}    2.11{col 55}{space 3}0.035{col 63}{space 4} .1239228{col 76}{space 3} 3.396711
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0564196{col 35}{space 2} .0215078{col 46}{space 1}   -2.62{col 55}{space 3}0.009{col 63}{space 4}-.0986259{col 76}{space 3}-.0142133
{txt}{space 9}party_member {c |}{col 23}{res}{space 2}  .700508{col 35}{space 2} .4972775{col 46}{space 1}    1.41{col 55}{space 3}0.159{col 63}{space 4}-.2753345{col 76}{space 3} 1.676351
{txt}{space 9}member_years {c |}{col 23}{res}{space 2} -.000725{col 35}{space 2} .0166862{col 46}{space 1}   -0.04{col 55}{space 3}0.965{col 63}{space 4}-.0334695{col 76}{space 3} .0320194
{txt}d_experience_campaign {c |}{col 23}{res}{space 2} .1280513{col 35}{space 2} .6256725{col 46}{space 1}    0.20{col 55}{space 3}0.838{col 63}{space 4} -1.09975{col 76}{space 3} 1.355852
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2}-.2153966{col 35}{space 2} .1757415{col 46}{space 1}   -1.23{col 55}{space 3}0.221{col 63}{space 4}-.5602666{col 76}{space 3} .1294734
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2}-.0371038{col 35}{space 2} .2427542{col 46}{space 1}   -0.15{col 55}{space 3}0.879{col 63}{space 4}-.5134774{col 76}{space 3} .4392698
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.1240777{col 35}{space 2} .2614705{col 46}{space 1}   -0.47{col 55}{space 3}0.635{col 63}{space 4}-.6371796{col 76}{space 3} .3890242
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} .4613155{col 35}{space 2}  .581081{col 46}{space 1}    0.79{col 55}{space 3}0.427{col 63}{space 4}-.6789807{col 76}{space 3} 1.601612
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0087057{col 35}{space 2} .0071813{col 46}{space 1}   -1.21{col 55}{space 3}0.226{col 63}{space 4} -.022798{col 76}{space 3} .0053866
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2}-.4122781{col 35}{space 2} .7163227{col 46}{space 1}   -0.58{col 55}{space 3}0.565{col 63}{space 4}-1.817969{col 76}{space 3} .9934124
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2} .7727467{col 35}{space 2} .4498098{col 46}{space 1}    1.72{col 55}{space 3}0.086{col 63}{space 4}-.1099467{col 76}{space 3}  1.65544
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .1321877{col 35}{space 2} .4961773{col 46}{space 1}    0.27{col 55}{space 3}0.790{col 63}{space 4} -.841496{col 76}{space 3} 1.105871
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} 1.120165{col 35}{space 2} .8544344{col 46}{space 1}    1.31{col 55}{space 3}0.190{col 63}{space 4}-.5565513{col 76}{space 3} 2.796882
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2}-.0822475{col 35}{space 2} .7417088{col 46}{space 1}   -0.11{col 55}{space 3}0.912{col 63}{space 4}-1.537755{col 76}{space 3}  1.37326
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2}-1.114379{col 35}{space 2} .3728634{col 46}{space 1}   -2.99{col 55}{space 3}0.003{col 63}{space 4}-1.846075{col 76}{space 3}-.3826831
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .9696772{col 35}{space 2} .9049634{col 46}{space 1}    1.07{col 55}{space 3}0.284{col 63}{space 4}-.8061962{col 76}{space 3} 2.745551
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  doors_wins{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.360461{col 26}{space 2}  .540871{col 37}{space 1}    2.52{col 46}{space 3}0.012{col 54}{space 4} .2990717{col 67}{space 3}  2.42185
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}no_feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  doors_wins{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.057106{col 26}{space 2} .4394738{col 37}{space 1}    2.41{col 46}{space 3}0.016{col 54}{space 4} .1946951{col 67}{space 3} 1.919516
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}feedback_pooled - no_feedback_pooled = 0{p_end}

{txt}       F(  1,   987) ={res}    0.19
{txt}{col 13}Prob > F ={res}    0.6592

{txt}Linear regression                               Number of obs     = {res}       964
                                                {txt}F(19, 944)        =  {res}    30.70
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3180
                                                {txt}Root MSE          =    {res} 1.4614

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}        n_intendedact{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}feedback_pooled {c |}{col 23}{res}{space 2} .2774493{col 35}{space 2} .1177825{col 46}{space 1}    2.36{col 55}{space 3}0.019{col 63}{space 4} .0463034{col 76}{space 3} .5085951
{txt}{space 3}no_feedback_pooled {c |}{col 23}{res}{space 2} .1451588{col 35}{space 2} .1174801{col 46}{space 1}    1.24{col 55}{space 3}0.217{col 63}{space 4}-.0853936{col 76}{space 3} .3757112
{txt}{space 5}voice_prior_high {c |}{col 23}{res}{space 2} .6124502{col 35}{space 2} .1008303{col 46}{space 1}    6.07{col 55}{space 3}0.000{col 63}{space 4} .4145728{col 76}{space 3} .8103277
{txt}{space 15}female {c |}{col 23}{res}{space 2}-.0176648{col 35}{space 2}  .117305{col 46}{space 1}   -0.15{col 55}{space 3}0.880{col 63}{space 4}-.2478736{col 76}{space 3}  .212544
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0161564{col 35}{space 2} .0034282{col 46}{space 1}   -4.71{col 55}{space 3}0.000{col 63}{space 4}-.0228841{col 76}{space 3}-.0094287
{txt}{space 9}party_member {c |}{col 23}{res}{space 2}  .635113{col 35}{space 2} .2315069{col 46}{space 1}    2.74{col 55}{space 3}0.006{col 63}{space 4} .1807854{col 76}{space 3} 1.089441
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}-.0108874{col 35}{space 2} .0041745{col 46}{space 1}   -2.61{col 55}{space 3}0.009{col 63}{space 4}-.0190797{col 76}{space 3}-.0026952
{txt}d_experience_campaign {c |}{col 23}{res}{space 2}-1.431693{col 35}{space 2} .1940597{col 46}{space 1}   -7.38{col 55}{space 3}0.000{col 63}{space 4}-1.812532{col 76}{space 3}-1.050855
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2} .1523331{col 35}{space 2} .0706023{col 46}{space 1}    2.16{col 55}{space 3}0.031{col 63}{space 4} .0137775{col 76}{space 3} .2908888
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2}-.0385028{col 35}{space 2} .0511632{col 46}{space 1}   -0.75{col 55}{space 3}0.452{col 63}{space 4}-.1389096{col 76}{space 3}  .061904
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.0722367{col 35}{space 2} .0497931{col 46}{space 1}   -1.45{col 55}{space 3}0.147{col 63}{space 4}-.1699546{col 76}{space 3} .0254812
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} .2610222{col 35}{space 2} .1220861{col 46}{space 1}    2.14{col 55}{space 3}0.033{col 63}{space 4} .0214307{col 76}{space 3} .5006137
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0014009{col 35}{space 2} .0019935{col 46}{space 1}   -0.70{col 55}{space 3}0.482{col 63}{space 4}-.0053132{col 76}{space 3} .0025114
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2} .4866222{col 35}{space 2} .1294629{col 46}{space 1}    3.76{col 55}{space 3}0.000{col 63}{space 4} .2325538{col 76}{space 3} .7406905
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2}  .387263{col 35}{space 2} .1471786{col 46}{space 1}    2.63{col 55}{space 3}0.009{col 63}{space 4} .0984279{col 76}{space 3}  .676098
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .8413942{col 35}{space 2} .1143123{col 46}{space 1}    7.36{col 55}{space 3}0.000{col 63}{space 4} .6170585{col 76}{space 3}  1.06573
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .4266219{col 35}{space 2} .1552923{col 46}{space 1}    2.75{col 55}{space 3}0.006{col 63}{space 4} .1218637{col 76}{space 3}   .73138
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .8043302{col 35}{space 2} .1286617{col 46}{space 1}    6.25{col 55}{space 3}0.000{col 63}{space 4} .5518342{col 76}{space 3} 1.056826
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2}-.1001036{col 35}{space 2}  .165008{col 46}{space 1}   -0.61{col 55}{space 3}0.544{col 63}{space 4}-.4239286{col 76}{space 3} .2237214
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 1.998253{col 35}{space 2} .2848967{col 46}{space 1}    7.01{col 55}{space 3}0.000{col 63}{space 4} 1.439149{col 76}{space 3} 2.557357
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}n_intended~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .2774493{col 26}{space 2} .1177825{col 37}{space 1}    2.36{col 46}{space 3}0.019{col 54}{space 4} .0463034{col 67}{space 3} .5085951
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}no_feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}n_intended~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1451588{col 26}{space 2} .1174801{col 37}{space 1}    1.24{col 46}{space 3}0.217{col 54}{space 4}-.0853936{col 67}{space 3} .3757112
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}feedback_pooled - no_feedback_pooled = 0{p_end}

{txt}       F(  1,   944) ={res}    1.35
{txt}{col 13}Prob > F ={res}    0.2455

{txt}Linear regression                               Number of obs     = {res}       955
                                                {txt}F(19, 935)        =  {res}    30.08
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3730
                                                {txt}Root MSE          =    {res} .79588

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}           z_score_fs{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}feedback_pooled {c |}{col 23}{res}{space 2} .1160978{col 35}{space 2} .0668349{col 46}{space 1}    1.74{col 55}{space 3}0.083{col 63}{space 4} -.015066{col 76}{space 3} .2472615
{txt}{space 3}no_feedback_pooled {c |}{col 23}{res}{space 2} .0502754{col 35}{space 2} .0636651{col 46}{space 1}    0.79{col 55}{space 3}0.430{col 63}{space 4}-.0746676{col 76}{space 3} .1752184
{txt}{space 5}voice_prior_high {c |}{col 23}{res}{space 2} 1.079155{col 35}{space 2} .0609834{col 46}{space 1}   17.70{col 55}{space 3}0.000{col 63}{space 4} .9594745{col 76}{space 3} 1.198835
{txt}{space 15}female {c |}{col 23}{res}{space 2} .0047416{col 35}{space 2}  .064655{col 46}{space 1}    0.07{col 55}{space 3}0.942{col 63}{space 4}-.1221441{col 76}{space 3} .1316272
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0017874{col 35}{space 2} .0021068{col 46}{space 1}   -0.85{col 55}{space 3}0.396{col 63}{space 4}-.0059221{col 76}{space 3} .0023473
{txt}{space 9}party_member {c |}{col 23}{res}{space 2}-.0687537{col 35}{space 2}  .170859{col 46}{space 1}   -0.40{col 55}{space 3}0.687{col 63}{space 4}-.4040652{col 76}{space 3} .2665578
{txt}{space 9}member_years {c |}{col 23}{res}{space 2} .0007502{col 35}{space 2} .0024573{col 46}{space 1}    0.31{col 55}{space 3}0.760{col 63}{space 4}-.0040723{col 76}{space 3} .0055727
{txt}d_experience_campaign {c |}{col 23}{res}{space 2}-.2048117{col 35}{space 2} .1486973{col 46}{space 1}   -1.38{col 55}{space 3}0.169{col 63}{space 4}-.4966308{col 76}{space 3} .0870075
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2}  .178582{col 35}{space 2} .0733479{col 46}{space 1}    2.43{col 55}{space 3}0.015{col 63}{space 4} .0346365{col 76}{space 3} .3225275
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2} .0078145{col 35}{space 2} .0357303{col 46}{space 1}    0.22{col 55}{space 3}0.827{col 63}{space 4}-.0623064{col 76}{space 3} .0779354
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.0740219{col 35}{space 2} .0332376{col 46}{space 1}   -2.23{col 55}{space 3}0.026{col 63}{space 4}-.1392507{col 76}{space 3} -.008793
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2}-.0393506{col 35}{space 2} .0722753{col 46}{space 1}   -0.54{col 55}{space 3}0.586{col 63}{space 4}-.1811912{col 76}{space 3}   .10249
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0016941{col 35}{space 2} .0007488{col 46}{space 1}   -2.26{col 55}{space 3}0.024{col 63}{space 4}-.0031637{col 76}{space 3}-.0002245
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2} .0347173{col 35}{space 2} .0794821{col 46}{space 1}    0.44{col 55}{space 3}0.662{col 63}{space 4}-.1212666{col 76}{space 3} .1907012
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2} .0266978{col 35}{space 2} .1131043{col 46}{space 1}    0.24{col 55}{space 3}0.813{col 63}{space 4}-.1952698{col 76}{space 3} .2486654
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .0492903{col 35}{space 2} .0641394{col 46}{space 1}    0.77{col 55}{space 3}0.442{col 63}{space 4}-.0765836{col 76}{space 3} .1751643
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .1172054{col 35}{space 2} .0700444{col 46}{space 1}    1.67{col 55}{space 3}0.095{col 63}{space 4}-.0202572{col 76}{space 3} .2546679
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .0275463{col 35}{space 2} .0937741{col 46}{space 1}    0.29{col 55}{space 3}0.769{col 63}{space 4}-.1564857{col 76}{space 3} .2115783
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2} .0420864{col 35}{space 2}  .076653{col 46}{space 1}    0.55{col 55}{space 3}0.583{col 63}{space 4}-.1083455{col 76}{space 3} .1925183
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-.2315419{col 35}{space 2} .2000532{col 46}{space 1}   -1.16{col 55}{space 3}0.247{col 63}{space 4}-.6241473{col 76}{space 3} .1610635
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1160978{col 26}{space 2} .0668349{col 37}{space 1}    1.74{col 46}{space 3}0.083{col 54}{space 4} -.015066{col 67}{space 3} .2472615
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}no_feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0502754{col 26}{space 2} .0636651{col 37}{space 1}    0.79{col 46}{space 3}0.430{col 54}{space 4}-.0746676{col 67}{space 3} .1752184
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}feedback_pooled - no_feedback_pooled = 0{p_end}

{txt}       F(  1,   935) ={res}    1.15
{txt}{col 13}Prob > F ={res}    0.2842
{txt}
{com}.         
.         
.         
.         
.          
. 
.         
.         
.         
.          
. loc rowlabels " "\textbf{c -(}Panel A: Main effects{c )-} " " " "Any voice treatment" " " " " "\hline  " "\textbf{c -(}Panel B: Type of voice{c )-} \\ " " Instrumental" " " " "  "Intrinsic" " " " "  "\hline p(Instrumental = Intrinsic)" " \hline"  "\textbf{c -(}Panel C: Feedback announcement{c )-} \\ " " " "Feedback announcement" " " " "  "No feedback announcement" " " " "  "\hline p(Feedback = No feedback)" " \hline Control mean" "Number of Observations" "Controls" "
{txt}
{com}. 
. loc rowstats ""
{txt}
{com}. 
. forval i = 1/26 {c -(}
{txt}  2{com}.     loc rowstats "`rowstats' thisstat`i'"
{txt}  3{com}. {c )-}
{txt}
{com}. 
. 
. 
. esttab col* using "$output/treat_doors_fs_pooled_3panel.tex", replace cells(none) booktabs nonotes  compress alignment(c) nogap noobs nobaselevels label stats(`rowstats', labels(`rowlabels')) ///
>  mtitle("Any" "Doors (wins)"  "\# intended activities"   "Voice index (z)" ) mgroups("App data" "Survey data",  pattern(1 0  1 0 ) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}))
{res}{txt}(output written to {browse  `"/Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/output/treat_doors_fs_pooled_3panel.tex"'})

{com}. 
. 
. 
{txt}end of do-file

{com}. 
. 
. ***************************************************************
. *3. Appendix output
. ***************************************************************
. 
. *Tables*
. do "$scripts/tables/Table_A1_sumarystats.do"
{txt}
{com}. 
. 
. use "$data/clean/clean_main_complete.dta" , replace
{txt}
{com}. 
. 
. tempfile main
{txt}
{com}. save `main', replace
{txt}(note: file /var/folders/kh/c_7hg45109q4mrtxd_bnv5t00000gn/T//S_01965.000001 not found)
file /var/folders/kh/c_7hg45109q4mrtxd_bnv5t00000gn/T//S_01965.000001 saved

{com}. 
. clear all
{res}{txt}
{com}. eststo clear
{txt}
{com}. estimates drop _all
{txt}
{com}. 
. loc columns = 6
{txt}
{com}. 
. set obs 10
{txt}{p}
number of observations (_N)  was 0,
now 10
{p_end}

{com}. gen x = 1
{txt}
{com}. gen y = 1
{txt}
{com}. 
. forval i = 1/`columns' {c -(}
{txt}  2{com}.         eststo col`i': reg x y
{txt}  3{com}. {c )-} 
{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. loc count = 1
{txt}
{com}. 
. loc statnames ""
{txt}
{com}. loc varlabels ""
{txt}
{com}. 
. /* Custom fill cells */
. 
. 
. 
. use `main', clear
{txt}
{com}. 
. label var comment_any  "Any comment"
{txt}
{com}. label var comment_constructive  "Constructive comment"
{txt}
{com}. label var comment_nonsense "Nonsense comment"
{txt}
{com}. label var comment_length_wins "Comment length"
{txt}
{com}. 
. gen pana=.
{txt}(1,007 missing values generated)

{com}. gen panb=.
{txt}(1,007 missing values generated)

{com}. gen panf=.
{txt}(1,007 missing values generated)

{com}. gen pand=.
{txt}(1,007 missing values generated)

{com}. gen pane=.
{txt}(1,007 missing values generated)

{com}. gen pang=.
{txt}(1,007 missing values generated)

{com}. gen intt= .
{txt}(1,007 missing values generated)

{com}. gen empt =. 
{txt}(1,007 missing values generated)

{com}. gen part_aff = .
{txt}(1,007 missing values generated)

{com}. 
. label var pana "\underline{c -(}Individual level characteristics{c )-} " 
{txt}
{com}. label var panb "\underline{c -(}Prior experience{c )-} " 
{txt}
{com}. label var pand "\underline{c -(}Post treatment attitudes (control){c )-}" 
{txt}
{com}. label var pane "\underline{c -(}Post treatment intentions (control){c )-}"  
{txt}
{com}. label var panf "\underline{c -(}Post treatment behavior (control){c )-}"  
{txt}
{com}. label var pang "\underline{c -(}Provided comments (all treatment){c )-}"  
{txt}
{com}. label var empt " "
{txt}
{com}.   
.   foreach yvar of varlist pana  female age party_member  member_years voice_prior ///
>  empt panb d_experience_campaign pre_doortodoor pre_days_doortodoor pre_posters pre_booth pre_online pre_call pre_friends pre_others  empt   {c -(}
{txt}  2{com}.          sum `yvar', d
{txt}  3{com}.         if `r(N)'!=0 {c -(}
{txt}  4{com}.         cap: estadd loc thisstat`count' = string(`r(mean)', "%9.2f"): col1
{txt}  5{com}.         cap: estadd loc thisstat`count' = string(`r(sd)', "%9.2f"): col2
{txt}  6{com}.         cap: estadd loc thisstat`count' = string(`r(p50)', "%9.2f"): col3
{txt}  7{com}.         cap: estadd loc thisstat`count' = string(`r(min)', "%9.0f"): col4
{txt}  8{com}.         cap: estadd loc thisstat`count' = string(`r(max)', "%9.0f"): col5
{txt}  9{com}.         cap: estadd loc thisstat`count' = `r(N)' : col6 
{txt} 10{com}.         {c )-}
{txt} 11{com}. 
.         /* Row Labels */
.         
.         loc thisvarlabel: variable label `yvar'
{txt} 12{com}.         local varlabels "`varlabels' "`thisvarlabel'" "
{txt} 13{com}.         loc statnames "`statnames' thisstat`count'"
{txt} 14{com}.         loc count = `count' + 1
{txt} 15{com}. 
. {c )-}

        {txt}\underline{c -(}Individual level characteristics{c )-} 
{hline 61}
no observations

                           Female
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}      1,007
{txt}25%    {res}        0              0       {txt}Sum of Wgt. {res}      1,007

{txt}50%    {res}        0                      {txt}Mean          {res} .2015889
                        {txt}Largest       Std. Dev.     {res} .4013861
{txt}75%    {res}        0              1
{txt}90%    {res}        1              1       {txt}Variance      {res} .1611108
{txt}95%    {res}        1              1       {txt}Skewness      {res} 1.487642
{txt}99%    {res}        1              1       {txt}Kurtosis      {res} 3.213079

                             {txt}Age
{hline 61}
      Percentiles      Smallest
 1%    {res}       18             18
{txt} 5%    {res}       19             18
{txt}10%    {res}       22             18       {txt}Obs         {res}      1,007
{txt}25%    {res}       33             18       {txt}Sum of Wgt. {res}      1,007

{txt}50%    {res}       48                      {txt}Mean          {res} 47.50745
                        {txt}Largest       Std. Dev.     {res} 17.39226
{txt}75%    {res}       62             77
{txt}90%    {res}       71             77       {txt}Variance      {res} 302.4907
{txt}95%    {res}       75             77       {txt}Skewness      {res}-.1015968
{txt}99%    {res}       77             77       {txt}Kurtosis      {res} 1.892295

                        {txt}Party member
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        1              0       {txt}Obs         {res}      1,007
{txt}25%    {res}        1              0       {txt}Sum of Wgt. {res}      1,007

{txt}50%    {res}        1                      {txt}Mean          {res} .9473684
                        {txt}Largest       Std. Dev.     {res} .2234078
{txt}75%    {res}        1              1
{txt}90%    {res}        1              1       {txt}Variance      {res} .0499111
{txt}95%    {res}        1              1       {txt}Skewness      {res}-4.006938
{txt}99%    {res}        1              1       {txt}Kurtosis      {res} 17.05556

           {txt}Years of party membership (winsorized)
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        1              0       {txt}Obs         {res}      1,007
{txt}25%    {res}        3              0       {txt}Sum of Wgt. {res}      1,007

{txt}50%    {res}       10                      {txt}Mean          {res} 15.55015
                        {txt}Largest       Std. Dev.     {res} 15.29599
{txt}75%    {res}       25             56
{txt}90%    {res}       40             56       {txt}Variance      {res} 233.9673
{txt}95%    {res}       48             56       {txt}Skewness      {res} .9409358
{txt}99%    {res}       56             56       {txt}Kurtosis      {res} 2.803923

      {txt}Perceived voice within party (1 - 5 Likert scale)
{hline 61}
      Percentiles      Smallest
 1%    {res}        1              1
{txt} 5%    {res}        1              1
{txt}10%    {res}        1              1       {txt}Obs         {res}      1,007
{txt}25%    {res}        2              1       {txt}Sum of Wgt. {res}      1,007

{txt}50%    {res}        3                      {txt}Mean          {res} 3.192651
                        {txt}Largest       Std. Dev.     {res} 1.235905
{txt}75%    {res}        4              5
{txt}90%    {res}        5              5       {txt}Variance      {res} 1.527461
{txt}95%    {res}        5              5       {txt}Skewness      {res}-.1924473
{txt}99%    {res}        5              5       {txt}Kurtosis      {res} 1.995871

{txt}{hline 61}
no observations

                \underline{c -(}Prior experience{c )-} 
{hline 61}
no observations

                 Any experience campaigning
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}      1,007
{txt}25%    {res}        1              0       {txt}Sum of Wgt. {res}      1,007

{txt}50%    {res}        1                      {txt}Mean          {res} .7765641
                        {txt}Largest       Std. Dev.     {res} .4167551
{txt}75%    {res}        1              1
{txt}90%    {res}        1              1       {txt}Variance      {res} .1736848
{txt}95%    {res}        1              1       {txt}Skewness      {res}-1.327885
{txt}99%    {res}        1              1       {txt}Kurtosis      {res} 2.763279

                 {txt}Experience: door canvassing
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}      1,007
{txt}25%    {res}        0              0       {txt}Sum of Wgt. {res}      1,007

{txt}50%    {res}        1                      {txt}Mean          {res}  .510427
                        {txt}Largest       Std. Dev.     {res} .5001397
{txt}75%    {res}        1              1
{txt}90%    {res}        1              1       {txt}Variance      {res} .2501397
{txt}95%    {res}        1              1       {txt}Skewness      {res}-.0417171
{txt}99%    {res}        1              1       {txt}Kurtosis      {res}  1.00174

      {txt}Experience: \# days door canvassing (winsorized)
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}      1,007
{txt}25%    {res}        0              0       {txt}Sum of Wgt. {res}      1,007

{txt}50%    {res}        1                      {txt}Mean          {res} 13.69513
                        {txt}Largest       Std. Dev.     {res} 32.62016
{txt}75%    {res}       10            200
{txt}90%    {res}       30            200       {txt}Variance      {res} 1064.075
{txt}95%    {res}       99            200       {txt}Skewness      {res} 3.994719
{txt}99%    {res}      200            200       {txt}Kurtosis      {res} 20.57428

                 {txt}Experience: sticking poster
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}      1,007
{txt}25%    {res}        0              0       {txt}Sum of Wgt. {res}      1,007

{txt}50%    {res}        1                      {txt}Mean          {res} .6226415
                        {txt}Largest       Std. Dev.     {res} .4849666
{txt}75%    {res}        1              1
{txt}90%    {res}        1              1       {txt}Variance      {res} .2351926
{txt}95%    {res}        1              1       {txt}Skewness      {res}-.5060243
{txt}99%    {res}        1              1       {txt}Kurtosis      {res} 1.256061

                 {txt}Experience: campaign booth
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}      1,007
{txt}25%    {res}        0              0       {txt}Sum of Wgt. {res}      1,007

{txt}50%    {res}        1                      {txt}Mean          {res}  .694141
                        {txt}Largest       Std. Dev.     {res} .4609993
{txt}75%    {res}        1              1
{txt}90%    {res}        1              1       {txt}Variance      {res} .2125203
{txt}95%    {res}        1              1       {txt}Skewness      {res}-.8426802
{txt}99%    {res}        1              1       {txt}Kurtosis      {res}  1.71011

                  {txt}Experience: social media
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}      1,007
{txt}25%    {res}        0              0       {txt}Sum of Wgt. {res}      1,007

{txt}50%    {res}        0                      {txt}Mean          {res} .4528302
                        {txt}Largest       Std. Dev.     {res} .4980174
{txt}75%    {res}        1              1
{txt}90%    {res}        1              1       {txt}Variance      {res} .2480213
{txt}95%    {res}        1              1       {txt}Skewness      {res} .1895245
{txt}99%    {res}        1              1       {txt}Kurtosis      {res}  1.03592

                {txt}Experience: phone canvassing
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}      1,007
{txt}25%    {res}        0              0       {txt}Sum of Wgt. {res}      1,007

{txt}50%    {res}        0                      {txt}Mean          {res} .1906653
                        {txt}Largest       Std. Dev.     {res} .3930209
{txt}75%    {res}        0              1
{txt}90%    {res}        1              1       {txt}Variance      {res} .1544655
{txt}95%    {res}        1              1       {txt}Skewness      {res}  1.57492
{txt}99%    {res}        1              1       {txt}Kurtosis      {res} 3.480374

                {txt}Experience: convince friends
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}      1,007
{txt}25%    {res}        0              0       {txt}Sum of Wgt. {res}      1,007

{txt}50%    {res}        1                      {txt}Mean          {res} .6623635
                        {txt}Largest       Std. Dev.     {res} .4731389
{txt}75%    {res}        1              1
{txt}90%    {res}        1              1       {txt}Variance      {res} .2238604
{txt}95%    {res}        1              1       {txt}Skewness      {res}-.6866657
{txt}99%    {res}        1              1       {txt}Kurtosis      {res}  1.47151

                      {txt}Experience: other
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}      1,007
{txt}25%    {res}        0              0       {txt}Sum of Wgt. {res}      1,007

{txt}50%    {res}        0                      {txt}Mean          {res} .1300894
                        {txt}Largest       Std. Dev.     {res} .3365689
{txt}75%    {res}        0              1
{txt}90%    {res}        1              1       {txt}Variance      {res} .1132786
{txt}95%    {res}        1              1       {txt}Skewness      {res} 2.199219
{txt}99%    {res}        1              1       {txt}Kurtosis      {res} 5.836566

{txt}{hline 61}
no observations

{com}. 
. 
. 
.   
.   foreach yvar of varlist pand  fs_engagement fs_connected fs_voice fs_interest fs_effective ///
>  empt pane n_intendedact  int_no_plans int_doortodoor  int_days_doortodoor int_posters int_booth int_online int_call int_friends int_others  empt   panf any_doors doors_wins empt {c -(}
{txt}  2{com}.         qui sum `yvar' if control==1, d
{txt}  3{com}.         if `r(N)'!=0 {c -(}
{txt}  4{com}.         cap: estadd loc thisstat`count' = string(`r(mean)', "%9.2f"): col1
{txt}  5{com}.         cap: estadd loc thisstat`count' = string(`r(sd)', "%9.2f"): col2
{txt}  6{com}.         cap: estadd loc thisstat`count' = string(`r(p50)', "%9.2f"): col3
{txt}  7{com}.         cap: estadd loc thisstat`count' = string(`r(min)', "%9.0f"): col4
{txt}  8{com}.         cap: estadd loc thisstat`count' = string(`r(max)', "%9.0f"): col5
{txt}  9{com}.         cap: estadd loc thisstat`count' = `r(N)' : col6 
{txt} 10{com}.         {c )-}
{txt} 11{com}. 
.         /* Row Labels */
.         
.         loc thisvarlabel: variable label `yvar'
{txt} 12{com}.         local varlabels "`varlabels' "`thisvarlabel'" "
{txt} 13{com}.         loc statnames "`statnames' thisstat`count'"
{txt} 14{com}.         loc count = `count' + 1
{txt} 15{com}. 
. {c )-}
{txt}
{com}. 
.   foreach yvar of varlist pang  comment_any comment_nonsense  comment_constructive comment_length_wins  empt   {c -(}
{txt}  2{com}.         qui sum `yvar', d
{txt}  3{com}.         if `r(N)'!=0 {c -(}
{txt}  4{com}.         cap: estadd loc thisstat`count' = string(`r(mean)', "%9.2f"): col1
{txt}  5{com}.         cap: estadd loc thisstat`count' = string(`r(sd)', "%9.2f"): col2
{txt}  6{com}.         cap: estadd loc thisstat`count' = string(`r(p50)', "%9.2f"): col3
{txt}  7{com}.         cap: estadd loc thisstat`count' = string(`r(min)', "%9.0f"): col4
{txt}  8{com}.         cap: estadd loc thisstat`count' = string(`r(max)', "%9.0f"): col5
{txt}  9{com}.         cap: estadd loc thisstat`count' = `r(N)' : col6 
{txt} 10{com}.         {c )-}
{txt} 11{com}. 
.         /* Row Labels */
.         
.         loc thisvarlabel: variable label `yvar'
{txt} 12{com}.         local varlabels "`varlabels' "`thisvarlabel'" "
{txt} 13{com}.         loc statnames "`statnames' thisstat`count'"
{txt} 14{com}.         loc count = `count' + 1
{txt} 15{com}. 
. {c )-}
{txt}
{com}. 
. 
. 
. 
. 
. /* Footnotes */
. 
. loc prehead "\begin{c -(}tabular{c )-}{c -(}l*{c -(}`columns'{c )-}{c -(}c{c )-}{c )-} \toprule"
{txt}
{com}. 
. loc postfoot "\bottomrule \end{c -(}tabular{c )-}"
{txt}
{com}. 
. 
. 
. esttab col* using "$output/sumstats_main", booktabs cells(none) nonum nogap mtitle("Mean" "SD" "Median" "Min." "Max." "Obs.") ///
>  stats(`statnames', labels(`varlabels'))  prehead("`prehead'") postfoot("`postfoot'") compress wrap replace
{res}{txt}(output written to {browse  `"/Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/output/sumstats_main.tex"'})

{com}. 
. eststo clear
{txt}
{com}. 
. 
. 
. 
. 
{txt}end of do-file

{com}. do "$scripts/tables/Table_A2_balance_pooled.do"
{txt}
{com}. 
. use "$data/clean/clean_main_complete.dta" , replace
{txt}
{com}. 
. 
. gen treat_pooled=control==0
{txt}
{com}. 
. tempfile main
{txt}
{com}. save `main', replace
{txt}(note: file /var/folders/kh/c_7hg45109q4mrtxd_bnv5t00000gn/T//S_01965.000001 not found)
file /var/folders/kh/c_7hg45109q4mrtxd_bnv5t00000gn/T//S_01965.000001 saved

{com}. 
. clear all
{res}{txt}
{com}. eststo clear
{txt}
{com}. estimates drop _all
{txt}
{com}. 
. loc columns = 4
{txt}
{com}. 
. set obs 10
{txt}{p}
number of observations (_N)  was 0,
now 10
{p_end}

{com}. gen x = 1
{txt}
{com}. gen y = 1
{txt}
{com}. 
. forval i = 1/`columns' {c -(}
{txt}  2{com}.         eststo col`i': reg x y
{txt}  3{com}. {c )-} 
{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. loc count = 1
{txt}
{com}. 
. loc statnames ""
{txt}
{com}. loc varlabels ""
{txt}
{com}. 
. /* Custom fill cells */
. 
. 
. 
. use `main', clear
{txt}
{com}. 
. 
. 
. gen pana=.
{txt}(1,007 missing values generated)

{com}. gen panb=.
{txt}(1,007 missing values generated)

{com}. gen panc=.
{txt}(1,007 missing values generated)

{com}. gen pand=.
{txt}(1,007 missing values generated)

{com}. gen pane=.
{txt}(1,007 missing values generated)

{com}. gen intt= .
{txt}(1,007 missing values generated)

{com}. gen empt =. 
{txt}(1,007 missing values generated)

{com}. gen part_aff = .
{txt}(1,007 missing values generated)

{com}. 
. label var pana "\underline{c -(}Individual level characteristics{c )-} " 
{txt}
{com}. label var panb "\underline{c -(}Prior experience{c )-} " 
{txt}
{com}. 
. label var empt " "
{txt}
{com}.   
.   foreach yvar of varlist pana  female age party_member member_years voice_prior   z_votes_own z_votes_other_1 z_votes_other_2 ///
>  empt panb d_experience_campaign pre_doortodoor pre_days_doortodoor pre_posters pre_booth pre_online pre_call pre_friends pre_others  empt  {c -(}
{txt}  2{com}.         qui sum `yvar', d
{txt}  3{com}.         if `r(N)'!=0 {c -(}
{txt}  4{com}.         qui sum `yvar' if  control ==1
{txt}  5{com}.         cap: estadd loc thisstat`count' = string(`r(mean)', "%9.2f"): col1
{txt}  6{com}.         
.         qui sum `yvar' if control == 0
{txt}  7{com}.         cap: estadd loc thisstat`count' = string(`r(mean)', "%9.2f"): col2
{txt}  8{com}.         
.         
.         reg `yvar'  treat_pooled, r
{txt}  9{com}.         local temp= _b[treat_pooled]
{txt} 10{com}.         cap: estadd loc thisstat`count' = string(`temp', "%9.2f"): col3
{txt} 11{com}.         
.         test treat_pooled
{txt} 12{com}.         cap: estadd loc thisstat`count' = string(`r(p)', "%9.2f"): col4
{txt} 13{com}.         
. 
. 
. 
.         {c )-}
{txt} 14{com}. 
.         /* Row Labels */
.         
.         loc thisvarlabel: variable label `yvar'
{txt} 15{com}.         local varlabels "`varlabels' "`thisvarlabel'" "
{txt} 16{com}.         loc statnames "`statnames' thisstat`count'"
{txt} 17{com}.         loc count = `count' + 1
{txt} 18{com}. {c )-}

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(1, 1005)        =  {res}     0.17
                                                {txt}Prob > F          = {res}    0.6832
                                                {txt}R-squared         = {res}    0.0002
                                                {txt}Root MSE          =    {res} .40155

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      female{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
treat_pooled {c |}{col 14}{res}{space 2}-.0110386{col 26}{space 2} .0270387{col 37}{space 1}   -0.41{col 46}{space 3}0.683{col 54}{space 4}-.0640974{col 67}{space 3} .0420203
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2089552{col 26}{space 2}  .022235{col 37}{space 1}    9.40{col 46}{space 3}0.000{col 54}{space 4} .1653229{col 67}{space 3} .2525875
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_pooled = 0{p_end}

{txt}       F(  1,  1005) ={res}    0.17
{txt}{col 13}Prob > F ={res}    0.6832

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(1, 1005)        =  {res}     0.60
                                                {txt}Prob > F          = {res}    0.4402
                                                {txt}R-squared         = {res}    0.0006
                                                {txt}Root MSE          =    {res} 17.396

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}         age{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
treat_pooled {c |}{col 14}{res}{space 2}-.8946562{col 26}{space 2} 1.158674{col 37}{space 1}   -0.77{col 46}{space 3}0.440{col 54}{space 4}-3.168354{col 67}{space 3} 1.379041
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 48.10448{col 26}{space 2} .9426192{col 37}{space 1}   51.03{col 46}{space 3}0.000{col 54}{space 4} 46.25475{col 67}{space 3}  49.9542
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_pooled = 0{p_end}

{txt}       F(  1,  1005) ={res}    0.60
{txt}{col 13}Prob > F ={res}    0.4402

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(1, 1005)        =  {res}     0.47
                                                {txt}Prob > F          = {res}    0.4920
                                                {txt}R-squared         = {res}    0.0005
                                                {txt}Root MSE          =    {res} .22346

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}party_member{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
treat_pooled {c |}{col 14}{res}{space 2} .0105943{col 26}{space 2} .0154121{col 37}{space 1}    0.69{col 46}{space 3}0.492{col 54}{space 4}-.0196493{col 67}{space 3}  .040838
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .9402985{col 26}{space 2} .0129579{col 37}{space 1}   72.57{col 46}{space 3}0.000{col 54}{space 4} .9148709{col 67}{space 3} .9657262
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_pooled = 0{p_end}

{txt}       F(  1,  1005) ={res}    0.47
{txt}{col 13}Prob > F ={res}    0.4920

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(1, 1005)        =  {res}     0.40
                                                {txt}Prob > F          = {res}    0.5298
                                                {txt}R-squared         = {res}    0.0004
                                                {txt}Root MSE          =    {res} 15.301

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}member_years{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
treat_pooled {c |}{col 14}{res}{space 2} .6418994{col 26}{space 2}  1.02133{col 37}{space 1}    0.63{col 46}{space 3}0.530{col 54}{space 4}-1.362284{col 67}{space 3} 2.646083
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 15.12179{col 26}{space 2} .8326978{col 37}{space 1}   18.16{col 46}{space 3}0.000{col 54}{space 4} 13.48777{col 67}{space 3} 16.75582
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_pooled = 0{p_end}

{txt}       F(  1,  1005) ={res}    0.40
{txt}{col 13}Prob > F ={res}    0.5298

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(1, 1005)        =  {res}     2.10
                                                {txt}Prob > F          = {res}    0.1477
                                                {txt}R-squared         = {res}    0.0021
                                                {txt}Root MSE          =    {res} 1.2353

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} voice_prior{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
treat_pooled {c |}{col 14}{res}{space 2}   .11871{col 26}{space 2} .0819449{col 37}{space 1}    1.45{col 46}{space 3}0.148{col 54}{space 4}-.0420927{col 67}{space 3} .2795128
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.113433{col 26}{space 2} .0663917{col 37}{space 1}   46.89{col 46}{space 3}0.000{col 54}{space 4} 2.983151{col 67}{space 3} 3.243715
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_pooled = 0{p_end}

{txt}       F(  1,  1005) ={res}    2.10
{txt}{col 13}Prob > F ={res}    0.1477

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(1, 1005)        =  {res}     3.45
                                                {txt}Prob > F          = {res}    0.0634
                                                {txt}R-squared         = {res}    0.0040
                                                {txt}Root MSE          =    {res} .91906

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} z_votes_own{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
treat_pooled {c |}{col 14}{res}{space 2} -.122965{col 26}{space 2} .0661663{col 37}{space 1}   -1.86{col 46}{space 3}0.063{col 54}{space 4} -.252805{col 67}{space 3}  .006875
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0083598{col 26}{space 2} .0576135{col 37}{space 1}    0.15{col 46}{space 3}0.885{col 54}{space 4}-.1046967{col 67}{space 3} .1214163
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_pooled = 0{p_end}

{txt}       F(  1,  1005) ={res}    3.45
{txt}{col 13}Prob > F ={res}    0.0634

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(1, 1005)        =  {res}     0.01
                                                {txt}Prob > F          = {res}    0.9113
                                                {txt}R-squared         = {res}    0.0000
                                                {txt}Root MSE          =    {res} .99794

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}z_votes_ot~1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
treat_pooled {c |}{col 14}{res}{space 2} .0076545{col 26}{space 2} .0686782{col 37}{space 1}    0.11{col 46}{space 3}0.911{col 54}{space 4}-.1271147{col 67}{space 3} .1424236
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0005204{col 26}{space 2} .0576312{col 37}{space 1}   -0.01{col 46}{space 3}0.993{col 54}{space 4}-.1136117{col 67}{space 3} .1125709
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_pooled = 0{p_end}

{txt}       F(  1,  1005) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9113

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(1, 1005)        =  {res}     0.43
                                                {txt}Prob > F          = {res}    0.5117
                                                {txt}R-squared         = {res}    0.0004
                                                {txt}Root MSE          =    {res} 1.0294

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}z_votes_ot~2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
treat_pooled {c |}{col 14}{res}{space 2}-.0457519{col 26}{space 2} .0697061{col 37}{space 1}   -0.66{col 46}{space 3}0.512{col 54}{space 4}-.1825381{col 67}{space 3} .0910344
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0031104{col 26}{space 2} .0576288{col 37}{space 1}    0.05{col 46}{space 3}0.957{col 54}{space 4}-.1099762{col 67}{space 3} .1161971
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_pooled = 0{p_end}

{txt}       F(  1,  1005) ={res}    0.43
{txt}{col 13}Prob > F ={res}    0.5117

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(1, 1005)        =  {res}     0.03
                                                {txt}Prob > F          = {res}    0.8542
                                                {txt}R-squared         = {res}    0.0000
                                                {txt}Root MSE          =    {res} .41696

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}d_experien~n{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
treat_pooled {c |}{col 14}{res}{space 2} .0051395{col 26}{space 2} .0279628{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0497327{col 67}{space 3} .0600117
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .7731343{col 26}{space 2} .0229045{col 37}{space 1}   33.75{col 46}{space 3}0.000{col 54}{space 4} .7281882{col 67}{space 3} .8180805
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_pooled = 0{p_end}

{txt}       F(  1,  1005) ={res}    0.03
{txt}{col 13}Prob > F ={res}    0.8542

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(1, 1005)        =  {res}     0.64
                                                {txt}Prob > F          = {res}    0.4233
                                                {txt}R-squared         = {res}    0.0006
                                                {txt}Root MSE          =    {res} .50023

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}pre_doorto~r{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
treat_pooled {c |}{col 14}{res}{space 2} .0268079{col 26}{space 2} .0334633{col 37}{space 1}    0.80{col 46}{space 3}0.423{col 54}{space 4} -.038858{col 67}{space 3} .0924739
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .4925373{col 26}{space 2}  .027342{col 37}{space 1}   18.01{col 46}{space 3}0.000{col 54}{space 4} .4388833{col 67}{space 3} .5461913
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_pooled = 0{p_end}

{txt}       F(  1,  1005) ={res}    0.64
{txt}{col 13}Prob > F ={res}    0.4233

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(1, 1005)        =  {res}     0.00
                                                {txt}Prob > F          = {res}    0.9523
                                                {txt}R-squared         = {res}    0.0000
                                                {txt}Root MSE          =    {res} 32.636

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}pre_days_d~r{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
treat_pooled {c |}{col 14}{res}{space 2} -.134777{col 26}{space 2} 2.251201{col 37}{space 1}   -0.06{col 46}{space 3}0.952{col 54}{space 4}-4.552369{col 67}{space 3} 4.282815
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 13.78507{col 26}{space 2}  1.89294{col 37}{space 1}    7.28{col 46}{space 3}0.000{col 54}{space 4} 10.07051{col 67}{space 3} 17.49964
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_pooled = 0{p_end}

{txt}       F(  1,  1005) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9523

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(1, 1005)        =  {res}     1.72
                                                {txt}Prob > F          = {res}    0.1894
                                                {txt}R-squared         = {res}    0.0017
                                                {txt}Root MSE          =    {res} .48479

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} pre_posters{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
treat_pooled {c |}{col 14}{res}{space 2} .0428749{col 26}{space 2} .0326516{col 37}{space 1}    1.31{col 46}{space 3}0.189{col 54}{space 4}-.0211982{col 67}{space 3}  .106948
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .5940299{col 26}{space 2} .0268572{col 37}{space 1}   22.12{col 46}{space 3}0.000{col 54}{space 4} .5413273{col 67}{space 3} .6467324
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_pooled = 0{p_end}

{txt}       F(  1,  1005) ={res}    1.72
{txt}{col 13}Prob > F ={res}    0.1894

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(1, 1005)        =  {res}     0.25
                                                {txt}Prob > F          = {res}    0.6139
                                                {txt}R-squared         = {res}    0.0003
                                                {txt}Root MSE          =    {res} .46117

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   pre_booth{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
treat_pooled {c |}{col 14}{res}{space 2}-.0154895{col 26}{space 2} .0306954{col 37}{space 1}   -0.50{col 46}{space 3}0.614{col 54}{space 4}-.0757239{col 67}{space 3} .0447448
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .7044776{col 26}{space 2} .0249539{col 37}{space 1}   28.23{col 46}{space 3}0.000{col 54}{space 4} .6555099{col 67}{space 3} .7534453
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_pooled = 0{p_end}

{txt}       F(  1,  1005) ={res}    0.25
{txt}{col 13}Prob > F ={res}    0.6139

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(1, 1005)        =  {res}     2.49
                                                {txt}Prob > F          = {res}    0.1148
                                                {txt}R-squared         = {res}    0.0025
                                                {txt}Root MSE          =    {res} .49765

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  pre_online{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
treat_pooled {c |}{col 14}{res}{space 2} .0523276{col 26}{space 2} .0331518{col 37}{space 1}    1.58{col 46}{space 3}0.115{col 54}{space 4} -.012727{col 67}{space 3} .1173823
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .4179104{col 26}{space 2}  .026974{col 37}{space 1}   15.49{col 46}{space 3}0.000{col 54}{space 4} .3649786{col 67}{space 3} .4708423
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_pooled = 0{p_end}

{txt}       F(  1,  1005) ={res}    2.49
{txt}{col 13}Prob > F ={res}    0.1148

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(1, 1005)        =  {res}     0.10
                                                {txt}Prob > F          = {res}    0.7487
                                                {txt}R-squared         = {res}    0.0001
                                                {txt}Root MSE          =    {res}  .3932

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    pre_call{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
treat_pooled {c |}{col 14}{res}{space 2} .0083778{col 26}{space 2} .0261488{col 37}{space 1}    0.32{col 46}{space 3}0.749{col 54}{space 4}-.0429347{col 67}{space 3} .0596902
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1850746{col 26}{space 2} .0212394{col 37}{space 1}    8.71{col 46}{space 3}0.000{col 54}{space 4}  .143396{col 67}{space 3} .2267532
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_pooled = 0{p_end}

{txt}       F(  1,  1005) ={res}    0.10
{txt}{col 13}Prob > F ={res}    0.7487

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(1, 1005)        =  {res}     0.09
                                                {txt}Prob > F          = {res}    0.7653
                                                {txt}R-squared         = {res}    0.0001
                                                {txt}Root MSE          =    {res} .47335

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} pre_friends{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
treat_pooled {c |}{col 14}{res}{space 2}-.0094305{col 26}{space 2} .0315854{col 37}{space 1}   -0.30{col 46}{space 3}0.765{col 54}{space 4}-.0714114{col 67}{space 3} .0525503
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .6686567{col 26}{space 2} .0257425{col 37}{space 1}   25.97{col 46}{space 3}0.000{col 54}{space 4} .6181416{col 67}{space 3} .7191718
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_pooled = 0{p_end}

{txt}       F(  1,  1005) ={res}    0.09
{txt}{col 13}Prob > F ={res}    0.7653

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(1, 1005)        =  {res}     0.52
                                                {txt}Prob > F          = {res}    0.4692
                                                {txt}R-squared         = {res}    0.0005
                                                {txt}Root MSE          =    {res} .33665

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  pre_others{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
treat_pooled {c |}{col 14}{res}{space 2} .0160137{col 26}{space 2} .0221148{col 37}{space 1}    0.72{col 46}{space 3}0.469{col 54}{space 4}-.0273828{col 67}{space 3} .0594102
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .119403{col 26}{space 2}  .017734{col 37}{space 1}    6.73{col 46}{space 3}0.000{col 54}{space 4} .0846032{col 67}{space 3} .1542028
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_pooled = 0{p_end}

{txt}       F(  1,  1005) ={res}    0.52
{txt}{col 13}Prob > F ={res}    0.4692
{txt}
{com}. 
.   
. 
. /* Footnotes */
. 
. loc prehead "\begin{c -(}tabular{c )-}{c -(}l*{c -(}`columns'{c )-}{c -(}c{c )-}{c )-} \toprule"
{txt}
{com}. 
. loc postfoot "\bottomrule \end{c -(}tabular{c )-}"
{txt}
{com}. 
. esttab col* using "$output/balance_pooled_main", booktabs cells(none) nonum nogap mtitle("Control" "Treatment" "$\Delta$" "p($\Delta=0$) ") ///
>  stats(`statnames', labels(`varlabels'))  prehead("`prehead'") postfoot("`postfoot'") compress wrap replace
{res}{txt}(output written to {browse  `"/Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/output/balance_pooled_main.tex"'})

{com}. 
. eststo clear
{txt}
{com}. 
. ** Joint significance **
. 
. reg  treat_pooled female age party_member member_years voice_prior   z_votes_own z_votes_other_1 z_votes_other_2 ///
>  d_experience_campaign pre_doortodoor pre_days_doortodoor pre_posters pre_booth pre_online pre_call pre_friends pre_others , r

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(17, 989)        =  {res}     1.19
                                                {txt}Prob > F          = {res}    0.2680
                                                {txt}R-squared         = {res}    0.0212
                                                {txt}Root MSE          =    {res} .47038

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}         treat_pooled{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}female {c |}{col 23}{res}{space 2}-.0016343{col 35}{space 2} .0378374{col 46}{space 1}   -0.04{col 55}{space 3}0.966{col 63}{space 4}-.0758851{col 76}{space 3} .0726166
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0008945{col 35}{space 2} .0011457{col 46}{space 1}   -0.78{col 55}{space 3}0.435{col 63}{space 4}-.0031429{col 76}{space 3} .0013538
{txt}{space 9}party_member {c |}{col 23}{res}{space 2} .0292075{col 35}{space 2} .0727142{col 46}{space 1}    0.40{col 55}{space 3}0.688{col 63}{space 4}-.1134844{col 76}{space 3} .1718994
{txt}{space 9}member_years {c |}{col 23}{res}{space 2} .0017259{col 35}{space 2} .0013966{col 46}{space 1}    1.24{col 55}{space 3}0.217{col 63}{space 4}-.0010147{col 76}{space 3} .0044664
{txt}{space 10}voice_prior {c |}{col 23}{res}{space 2} .0242752{col 35}{space 2} .0131447{col 46}{space 1}    1.85{col 55}{space 3}0.065{col 63}{space 4}-.0015195{col 76}{space 3} .0500699
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2}-.0419359{col 35}{space 2} .0193684{col 46}{space 1}   -2.17{col 55}{space 3}0.031{col 63}{space 4}-.0799437{col 76}{space 3}-.0039281
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2} .0120757{col 35}{space 2} .0163819{col 46}{space 1}    0.74{col 55}{space 3}0.461{col 63}{space 4}-.0200716{col 76}{space 3} .0442229
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.0192249{col 35}{space 2} .0158498{col 46}{space 1}   -1.21{col 55}{space 3}0.225{col 63}{space 4}-.0503281{col 76}{space 3} .0118782
{txt}d_experience_campaign {c |}{col 23}{res}{space 2} .0300861{col 35}{space 2} .0738153{col 46}{space 1}    0.41{col 55}{space 3}0.684{col 63}{space 4}-.1147665{col 76}{space 3} .1749388
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} .0353292{col 35}{space 2} .0424502{col 46}{space 1}    0.83{col 55}{space 3}0.405{col 63}{space 4}-.0479736{col 76}{space 3}  .118632
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2} -.000397{col 35}{space 2} .0005231{col 46}{space 1}   -0.76{col 55}{space 3}0.448{col 63}{space 4}-.0014236{col 76}{space 3} .0006295
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2}   .07564{col 35}{space 2} .0472471{col 46}{space 1}    1.60{col 55}{space 3}0.110{col 63}{space 4}-.0170761{col 76}{space 3} .1683562
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2}-.1124388{col 35}{space 2} .0577156{col 46}{space 1}   -1.95{col 55}{space 3}0.052{col 63}{space 4}-.2256978{col 76}{space 3} .0008202
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .0520622{col 35}{space 2} .0386049{col 46}{space 1}    1.35{col 55}{space 3}0.178{col 63}{space 4}-.0236947{col 76}{space 3} .1278191
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2}-.0123502{col 35}{space 2} .0435029{col 46}{space 1}   -0.28{col 55}{space 3}0.777{col 63}{space 4}-.0977188{col 76}{space 3} .0730184
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2}-.0700938{col 35}{space 2} .0489571{col 46}{space 1}   -1.43{col 55}{space 3}0.153{col 63}{space 4}-.1661656{col 76}{space 3}  .025978
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2} .0317071{col 35}{space 2} .0463434{col 46}{space 1}    0.68{col 55}{space 3}0.494{col 63}{space 4}-.0592356{col 76}{space 3} .1226498
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .5905464{col 35}{space 2} .0922199{col 46}{space 1}    6.40{col 55}{space 3}0.000{col 63}{space 4} .4095773{col 76}{space 3} .7715155
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. test female age party_member member_years voice_prior   z_votes_own z_votes_other_1 z_votes_other_2 ///
>  d_experience_campaign pre_doortodoor pre_days_doortodoor pre_posters pre_booth pre_online pre_call pre_friends pre_others

{p 0 7}{space 1}{text:( 1)}{space 1} {res}female = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} age = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} party_member = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} member_years = 0{p_end}
{p 0 7}{space 1}{text:( 5)}{space 1} voice_prior = 0{p_end}
{p 0 7}{space 1}{text:( 6)}{space 1} z_votes_own = 0{p_end}
{p 0 7}{space 1}{text:( 7)}{space 1} z_votes_other_1 = 0{p_end}
{p 0 7}{space 1}{text:( 8)}{space 1} z_votes_other_2 = 0{p_end}
{p 0 7}{space 1}{text:( 9)}{space 1} d_experience_campaign = 0{p_end}
{p 0 7}{space 1}{text:(10)}{space 1} pre_doortodoor = 0{p_end}
{p 0 7}{space 1}{text:(11)}{space 1} pre_days_doortodoor = 0{p_end}
{p 0 7}{space 1}{text:(12)}{space 1} pre_posters = 0{p_end}
{p 0 7}{space 1}{text:(13)}{space 1} pre_booth = 0{p_end}
{p 0 7}{space 1}{text:(14)}{space 1} pre_online = 0{p_end}
{p 0 7}{space 1}{text:(15)}{space 1} pre_call = 0{p_end}
{p 0 7}{space 1}{text:(16)}{space 1} pre_friends = 0{p_end}
{p 0 7}{space 1}{text:(17)}{space 1} pre_others = 0{p_end}

{txt}       F( 17,   989) ={res}    1.19
{txt}{col 13}Prob > F ={res}    0.2680
{txt}
{com}. 
{txt}end of do-file

{com}. do "$scripts/tables/Table_A3_balance_instrumental.do"
{txt}
{com}. 
. use "$data/clean/clean_main_complete.dta" , replace
{txt}
{com}. 
. 
. tempfile main
{txt}
{com}. save `main', replace
{txt}(note: file /var/folders/kh/c_7hg45109q4mrtxd_bnv5t00000gn/T//S_01965.000001 not found)
file /var/folders/kh/c_7hg45109q4mrtxd_bnv5t00000gn/T//S_01965.000001 saved

{com}. 
. clear all
{res}{txt}
{com}. eststo clear
{txt}
{com}. estimates drop _all
{txt}
{com}. 
. loc columns = 6
{txt}
{com}. 
. set obs 10
{txt}{p}
number of observations (_N)  was 0,
now 10
{p_end}

{com}. gen x = 1
{txt}
{com}. gen y = 1
{txt}
{com}. 
. forval i = 1/`columns' {c -(}
{txt}  2{com}.         eststo col`i': reg x y
{txt}  3{com}. {c )-} 
{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. loc count = 1
{txt}
{com}. 
. loc statnames ""
{txt}
{com}. loc varlabels ""
{txt}
{com}. 
. /* Custom fill cells */
. 
. 
. 
. use `main', clear
{txt}
{com}. 
. 
. 
. gen pana=.
{txt}(1,007 missing values generated)

{com}. gen panb=.
{txt}(1,007 missing values generated)

{com}. gen panc=.
{txt}(1,007 missing values generated)

{com}. gen pand=.
{txt}(1,007 missing values generated)

{com}. gen pane=.
{txt}(1,007 missing values generated)

{com}. gen intt= .
{txt}(1,007 missing values generated)

{com}. gen empt =. 
{txt}(1,007 missing values generated)

{com}. gen part_aff = .
{txt}(1,007 missing values generated)

{com}. 
. label var pana "\underline{c -(}Individual level characteristics{c )-} " 
{txt}
{com}. label var panb "\underline{c -(}Prior experience{c )-} " 
{txt}
{com}. 
. label var empt " "
{txt}
{com}.   
.   foreach yvar of varlist pana  female age party_member member_years voice_prior   z_votes_own z_votes_other_1 z_votes_other_2 ///
>  empt panb d_experience_campaign pre_doortodoor pre_days_doortodoor pre_posters pre_booth pre_online pre_call pre_friends pre_others  empt  {c -(}
{txt}  2{com}.         qui sum `yvar', d
{txt}  3{com}.         if `r(N)'!=0 {c -(}
{txt}  4{com}.         qui sum `yvar' if  control ==1
{txt}  5{com}.         cap: estadd loc thisstat`count' = string(`r(mean)', "%9.2f"): col1
{txt}  6{com}.         
.         qui sum `yvar' if voice_instrumental_pooled == 1
{txt}  7{com}.         cap: estadd loc thisstat`count' = string(`r(mean)', "%9.2f"): col2
{txt}  8{com}.         
.                 qui sum `yvar' if voice_intrinsic_pooled == 1
{txt}  9{com}.         cap: estadd loc thisstat`count' = string(`r(mean)', "%9.2f"): col3
{txt} 10{com}.         
.         
.         reg `yvar'  voice_instrumental_pooled voice_intrinsic_pooled, r
{txt} 11{com}. 
.         
.         test voice_instrumental_pooled
{txt} 12{com}.         cap: estadd loc thisstat`count' = string(`r(p)', "%9.2f"): col4
{txt} 13{com}.         
.         
.         test voice_intrinsic_pooled
{txt} 14{com}.         cap: estadd loc thisstat`count' = string(`r(p)', "%9.2f"): col5
{txt} 15{com}. 
.         test voice_instrumental_pooled=voice_intrinsic_pooled
{txt} 16{com}.         cap: estadd loc thisstat`count' = string(`r(p)', "%9.2f"): col6
{txt} 17{com}. 
. 
.         {c )-}
{txt} 18{com}. 
.         /* Row Labels */
.         
.         loc thisvarlabel: variable label `yvar'
{txt} 19{com}.         local varlabels "`varlabels' "`thisvarlabel'" "
{txt} 20{com}.         loc statnames "`statnames' thisstat`count'"
{txt} 21{com}.         loc count = `count' + 1
{txt} 22{com}. {c )-}

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     0.08
                                                {txt}Prob > F          = {res}    0.9199
                                                {txt}R-squared         = {res}    0.0002
                                                {txt}Root MSE          =    {res} .40175

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                   female{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2}-.0107304{col 39}{space 2} .0310886{col 50}{space 1}   -0.35{col 59}{space 3}0.730{col 67}{space 4}-.0717365{col 80}{space 3} .0502758
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2}-.0113504{col 39}{space 2} .0311613{col 50}{space 1}   -0.36{col 59}{space 3}0.716{col 67}{space 4}-.0724992{col 80}{space 3} .0497983
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .2089552{col 39}{space 2}  .022246{col 50}{space 1}    9.39{col 59}{space 3}0.000{col 67}{space 4} .1653012{col 80}{space 3} .2526093
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.12
{txt}{col 13}Prob > F ={res}    0.7301

{p 0 7}{space 1}{text:( 1)}{space 1} voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.13
{txt}{col 13}Prob > F ={res}    0.7157

{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9839

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     1.80
                                                {txt}Prob > F          = {res}    0.1663
                                                {txt}R-squared         = {res}    0.0036
                                                {txt}Root MSE          =    {res} 17.378

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                      age{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} .2742206{col 39}{space 2} 1.324818{col 50}{space 1}    0.21{col 59}{space 3}0.836{col 67}{space 4} -2.32551{col 80}{space 3} 2.873951
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2}-2.077532{col 39}{space 2} 1.354288{col 50}{space 1}   -1.53{col 59}{space 3}0.125{col 67}{space 4}-4.735091{col 80}{space 3} .5800279
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 48.10448{col 39}{space 2} .9430885{col 50}{space 1}   51.01{col 59}{space 3}0.000{col 67}{space 4} 46.25383{col 80}{space 3} 49.95513
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.04
{txt}{col 13}Prob > F ={res}    0.8361

{p 0 7}{space 1}{text:( 1)}{space 1} voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    2.35
{txt}{col 13}Prob > F ={res}    0.1253

{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    3.05
{txt}{col 13}Prob > F ={res}    0.0808

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     4.63
                                                {txt}Prob > F          = {res}    0.0099
                                                {txt}R-squared         = {res}    0.0073
                                                {txt}Root MSE          =    {res} .22281

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}             party_member{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} .0330743{col 39}{space 2}  .015652{col 50}{space 1}    2.11{col 59}{space 3}0.035{col 67}{space 4} .0023599{col 80}{space 3} .0637886
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2}-.0121548{col 39}{space 2} .0191925{col 50}{space 1}   -0.63{col 59}{space 3}0.527{col 67}{space 4}-.0498167{col 80}{space 3} .0255071
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .9402985{col 39}{space 2} .0129644{col 50}{space 1}   72.53{col 59}{space 3}0.000{col 67}{space 4} .9148582{col 80}{space 3} .9657388
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    4.47
{txt}{col 13}Prob > F ={res}    0.0348

{p 0 7}{space 1}{text:( 1)}{space 1} voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.40
{txt}{col 13}Prob > F ={res}    0.5267

{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    7.38
{txt}{col 13}Prob > F ={res}    0.0067

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     0.20
                                                {txt}Prob > F          = {res}    0.8167
                                                {txt}R-squared         = {res}    0.0004
                                                {txt}Root MSE          =    {res} 15.308

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}             member_years{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} .6932977{col 39}{space 2} 1.167456{col 50}{space 1}    0.59{col 59}{space 3}0.553{col 67}{space 4}-1.597637{col 80}{space 3} 2.984232
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2} .5898856{col 39}{space 2} 1.194234{col 50}{space 1}    0.49{col 59}{space 3}0.621{col 67}{space 4}-1.753594{col 80}{space 3} 2.933366
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 15.12179{col 39}{space 2} .8331124{col 50}{space 1}   18.15{col 59}{space 3}0.000{col 67}{space 4} 13.48695{col 80}{space 3} 16.75663
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.35
{txt}{col 13}Prob > F ={res}    0.5527

{p 0 7}{space 1}{text:( 1)}{space 1} voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.24
{txt}{col 13}Prob > F ={res}    0.6215

{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9304

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     1.37
                                                {txt}Prob > F          = {res}    0.2557
                                                {txt}R-squared         = {res}    0.0027
                                                {txt}Root MSE          =    {res} 1.2355

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}              voice_prior{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} .0818334{col 39}{space 2} .0955392{col 50}{space 1}    0.86{col 59}{space 3}0.392{col 67}{space 4}-.1056461{col 80}{space 3} .2693129
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2} .1560282{col 39}{space 2} .0944638{col 50}{space 1}    1.65{col 59}{space 3}0.099{col 67}{space 4}-.0293409{col 80}{space 3} .3413974
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 3.113433{col 39}{space 2} .0664248{col 50}{space 1}   46.87{col 59}{space 3}0.000{col 67}{space 4} 2.983086{col 80}{space 3}  3.24378
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.73
{txt}{col 13}Prob > F ={res}    0.3919

{p 0 7}{space 1}{text:( 1)}{space 1} voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    2.73
{txt}{col 13}Prob > F ={res}    0.0989

{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.60
{txt}{col 13}Prob > F ={res}    0.4401

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     2.22
                                                {txt}Prob > F          = {res}    0.1093
                                                {txt}R-squared         = {res}    0.0045
                                                {txt}Root MSE          =    {res} .91928

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}              z_votes_own{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} -.097634{col 39}{space 2} .0767646{col 50}{space 1}   -1.27{col 59}{space 3}0.204{col 67}{space 4}-.2482715{col 80}{space 3} .0530035
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2}-.1485993{col 39}{space 2} .0705436{col 50}{space 1}   -2.11{col 59}{space 3}0.035{col 67}{space 4} -.287029{col 80}{space 3}-.0101696
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .0083598{col 39}{space 2} .0576422{col 50}{space 1}    0.15{col 59}{space 3}0.885{col 67}{space 4}-.1047531{col 80}{space 3} .1214727
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    1.62
{txt}{col 13}Prob > F ={res}    0.2037

{p 0 7}{space 1}{text:( 1)}{space 1} voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    4.44
{txt}{col 13}Prob > F ={res}    0.0354

{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.61
{txt}{col 13}Prob > F ={res}    0.4331

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     0.17
                                                {txt}Prob > F          = {res}    0.8427
                                                {txt}R-squared         = {res}    0.0003
                                                {txt}Root MSE          =    {res} .99829

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}          z_votes_other_1{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} .0281326{col 39}{space 2} .0729255{col 50}{space 1}    0.39{col 59}{space 3}0.700{col 67}{space 4}-.1149712{col 80}{space 3} .1712364
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2}-.0130689{col 39}{space 2} .0832745{col 50}{space 1}   -0.16{col 59}{space 3}0.875{col 67}{space 4} -.176481{col 80}{space 3} .1503432
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-.0005204{col 39}{space 2} .0576599{col 50}{space 1}   -0.01{col 59}{space 3}0.993{col 67}{space 4}-.1136682{col 80}{space 3} .1126274
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.15
{txt}{col 13}Prob > F ={res}    0.6997

{p 0 7}{space 1}{text:( 1)}{space 1} voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8753

{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.30
{txt}{col 13}Prob > F ={res}    0.5822

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     1.70
                                                {txt}Prob > F          = {res}    0.1829
                                                {txt}R-squared         = {res}    0.0030
                                                {txt}Root MSE          =    {res} 1.0287

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}          z_votes_other_2{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2}-.1086454{col 39}{space 2} .0748631{col 50}{space 1}   -1.45{col 59}{space 3}0.147{col 67}{space 4}-.2555516{col 80}{space 3} .0382607
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2} .0178949{col 39}{space 2} .0848335{col 50}{space 1}    0.21{col 59}{space 3}0.833{col 67}{space 4}-.1485763{col 80}{space 3} .1843661
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .0031104{col 39}{space 2} .0576575{col 50}{space 1}    0.05{col 59}{space 3}0.957{col 67}{space 4}-.1100326{col 80}{space 3} .1162535
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    2.11
{txt}{col 13}Prob > F ={res}    0.1470

{p 0 7}{space 1}{text:( 1)}{space 1} voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.04
{txt}{col 13}Prob > F ={res}    0.8330

{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    2.60
{txt}{col 13}Prob > F ={res}    0.1070

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     0.17
                                                {txt}Prob > F          = {res}    0.8458
                                                {txt}R-squared         = {res}    0.0003
                                                {txt}Root MSE          =    {res}  .4171

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}    d_experience_campaign{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} .0138479{col 39}{space 2} .0319781{col 50}{space 1}    0.43{col 59}{space 3}0.665{col 67}{space 4}-.0489037{col 80}{space 3} .0765996
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2}-.0036733{col 39}{space 2} .0325244{col 50}{space 1}   -0.11{col 59}{space 3}0.910{col 67}{space 4}-.0674968{col 80}{space 3} .0601503
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .7731343{col 39}{space 2} .0229159{col 50}{space 1}   33.74{col 59}{space 3}0.000{col 67}{space 4} .7281657{col 80}{space 3} .8181029
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.19
{txt}{col 13}Prob > F ={res}    0.6651

{p 0 7}{space 1}{text:( 1)}{space 1} voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9101

{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.30
{txt}{col 13}Prob > F ={res}    0.5853

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     0.32
                                                {txt}Prob > F          = {res}    0.7240
                                                {txt}R-squared         = {res}    0.0006
                                                {txt}Root MSE          =    {res} .50048

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}           pre_doortodoor{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} .0281727{col 39}{space 2} .0385864{col 50}{space 1}    0.73{col 59}{space 3}0.465{col 67}{space 4}-.0475466{col 80}{space 3} .1038921
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2} .0254268{col 39}{space 2} .0387053{col 50}{space 1}    0.66{col 59}{space 3}0.511{col 67}{space 4}-.0505258{col 80}{space 3} .1013794
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .4925373{col 39}{space 2} .0273557{col 50}{space 1}   18.00{col 59}{space 3}0.000{col 67}{space 4} .4388565{col 80}{space 3} .5462181
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.53
{txt}{col 13}Prob > F ={res}    0.4655

{p 0 7}{space 1}{text:( 1)}{space 1} voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.43
{txt}{col 13}Prob > F ={res}    0.5114

{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9433

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     1.55
                                                {txt}Prob > F          = {res}    0.2121
                                                {txt}R-squared         = {res}    0.0028
                                                {txt}Root MSE          =    {res} 32.606

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}      pre_days_doortodoor{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2}-2.243655{col 39}{space 2} 2.425771{col 50}{space 1}   -0.92{col 59}{space 3}0.355{col 67}{space 4}-7.003817{col 80}{space 3} 2.516508
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2} 1.999357{col 39}{space 2} 2.687511{col 50}{space 1}    0.74{col 59}{space 3}0.457{col 67}{space 4}-3.274425{col 80}{space 3} 7.273138
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 13.78507{col 39}{space 2} 1.893883{col 50}{space 1}    7.28{col 59}{space 3}0.000{col 67}{space 4} 10.06865{col 80}{space 3}  17.5015
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.86
{txt}{col 13}Prob > F ={res}    0.3552

{p 0 7}{space 1}{text:( 1)}{space 1} voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.55
{txt}{col 13}Prob > F ={res}    0.4571

{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    3.03
{txt}{col 13}Prob > F ={res}    0.0818

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     1.87
                                                {txt}Prob > F          = {res}    0.1540
                                                {txt}R-squared         = {res}    0.0037
                                                {txt}Root MSE          =    {res} .48456

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}              pre_posters{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2}  .068692{col 39}{space 2} .0372197{col 50}{space 1}    1.85{col 59}{space 3}0.065{col 67}{space 4}-.0043454{col 80}{space 3} .1417294
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2} .0167486{col 39}{space 2} .0378935{col 50}{space 1}    0.44{col 59}{space 3}0.659{col 67}{space 4}-.0576109{col 80}{space 3} .0911081
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .5940299{col 39}{space 2} .0268706{col 50}{space 1}   22.11{col 59}{space 3}0.000{col 67}{space 4}  .541301{col 80}{space 3} .6467587
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    3.41
{txt}{col 13}Prob > F ={res}    0.0652

{p 0 7}{space 1}{text:( 1)}{space 1} voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.20
{txt}{col 13}Prob > F ={res}    0.6586

{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    1.96
{txt}{col 13}Prob > F ={res}    0.1619

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     0.26
                                                {txt}Prob > F          = {res}    0.7713
                                                {txt}R-squared         = {res}    0.0005
                                                {txt}Root MSE          =    {res} .46134

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                pre_booth{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2}-.0062528{col 39}{space 2} .0353351{col 50}{space 1}   -0.18{col 59}{space 3}0.860{col 67}{space 4} -.075592{col 80}{space 3} .0630864
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2}-.0248369{col 39}{space 2} .0357372{col 50}{space 1}   -0.69{col 59}{space 3}0.487{col 67}{space 4}-.0949651{col 80}{space 3} .0452913
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .7044776{col 39}{space 2} .0249663{col 50}{space 1}   28.22{col 59}{space 3}0.000{col 67}{space 4} .6554855{col 80}{space 3} .7534697
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.03
{txt}{col 13}Prob > F ={res}    0.8596

{p 0 7}{space 1}{text:( 1)}{space 1} voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.48
{txt}{col 13}Prob > F ={res}    0.4872

{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.27
{txt}{col 13}Prob > F ={res}    0.6034

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     1.68
                                                {txt}Prob > F          = {res}    0.1870
                                                {txt}R-squared         = {res}    0.0033
                                                {txt}Root MSE          =    {res} .49768

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}               pre_online{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} .0702552{col 39}{space 2} .0383375{col 50}{space 1}    1.83{col 59}{space 3}0.067{col 67}{space 4}-.0049755{col 80}{space 3}  .145486
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2} .0341854{col 39}{space 2} .0383689{col 50}{space 1}    0.89{col 59}{space 3}0.373{col 67}{space 4} -.041107{col 80}{space 3} .1094778
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .4179104{col 39}{space 2} .0269875{col 50}{space 1}   15.49{col 59}{space 3}0.000{col 67}{space 4} .3649522{col 80}{space 3} .4708687
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    3.36
{txt}{col 13}Prob > F ={res}    0.0672

{p 0 7}{space 1}{text:( 1)}{space 1} voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.79
{txt}{col 13}Prob > F ={res}    0.3732

{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.88
{txt}{col 13}Prob > F ={res}    0.3495

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     0.59
                                                {txt}Prob > F          = {res}    0.5533
                                                {txt}R-squared         = {res}    0.0012
                                                {txt}Root MSE          =    {res} .39317

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                 pre_call{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2}-.0075598{col 39}{space 2} .0297458{col 50}{space 1}   -0.25{col 59}{space 3}0.799{col 67}{space 4}-.0659309{col 80}{space 3} .0508113
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2} .0245062{col 39}{space 2} .0308062{col 50}{space 1}    0.80{col 59}{space 3}0.427{col 67}{space 4}-.0359457{col 80}{space 3} .0849581
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .1850746{col 39}{space 2} .0212499{col 50}{space 1}    8.71{col 59}{space 3}0.000{col 67}{space 4} .1433752{col 80}{space 3}  .226774
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.06
{txt}{col 13}Prob > F ={res}    0.7994

{p 0 7}{space 1}{text:( 1)}{space 1} voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.63
{txt}{col 13}Prob > F ={res}    0.4265

{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    1.10
{txt}{col 13}Prob > F ={res}    0.2935

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     0.27
                                                {txt}Prob > F          = {res}    0.7607
                                                {txt}R-squared         = {res}    0.0006
                                                {txt}Root MSE          =    {res} .47348

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}              pre_friends{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} .0029409{col 39}{space 2} .0363017{col 50}{space 1}    0.08{col 59}{space 3}0.935{col 67}{space 4}-.0682949{col 80}{space 3} .0741768
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2}-.0219501{col 39}{space 2} .0367347{col 50}{space 1}   -0.60{col 59}{space 3}0.550{col 67}{space 4}-.0940358{col 80}{space 3} .0501355
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .6686567{col 39}{space 2} .0257553{col 50}{space 1}   25.96{col 59}{space 3}0.000{col 67}{space 4} .6181164{col 80}{space 3} .7191971
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9354

{p 0 7}{space 1}{text:( 1)}{space 1} voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.36
{txt}{col 13}Prob > F ={res}    0.5503

{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.46
{txt}{col 13}Prob > F ={res}    0.4968

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     0.69
                                                {txt}Prob > F          = {res}    0.5041
                                                {txt}R-squared         = {res}    0.0014
                                                {txt}Root MSE          =    {res} .33666

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}               pre_others{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2}  .028526{col 39}{space 2} .0262457{col 50}{space 1}    1.09{col 59}{space 3}0.277{col 67}{space 4}-.0229767{col 80}{space 3} .0800288
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2} .0033515{col 39}{space 2} .0252623{col 50}{space 1}    0.13{col 59}{space 3}0.894{col 67}{space 4}-.0462214{col 80}{space 3} .0529244
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}  .119403{col 39}{space 2} .0177428{col 50}{space 1}    6.73{col 59}{space 3}0.000{col 67}{space 4} .0845858{col 80}{space 3} .1542202
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    1.18
{txt}{col 13}Prob > F ={res}    0.2773

{p 0 7}{space 1}{text:( 1)}{space 1} voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8945

{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.91
{txt}{col 13}Prob > F ={res}    0.3407
{txt}
{com}. 
.   
. 
. /* Footnotes */
. 
. loc prehead "\begin{c -(}tabular{c )-}{c -(}l*{c -(}`columns'{c )-}{c -(}c{c )-}{c )-} \toprule"
{txt}
{com}. 
. loc postfoot "\bottomrule \end{c -(}tabular{c )-}"
{txt}
{com}. 
. esttab col* using "$output/balance_pooled_instrumental", booktabs cells(none) nogap mtitle("Control" "Instrumental" "Intrinsic"  "p(Inst=Cont)"  "p(Intr=Cont)"  "p(Intr=Inst)" ) ///
>  stats(`statnames', labels(`varlabels'))  prehead("`prehead'") postfoot("`postfoot'") compress wrap replace
{res}{txt}(output written to {browse  `"/Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/output/balance_pooled_instrumental.tex"'})

{com}. 
. eststo clear
{txt}
{com}. 
. 
. 
. reg  voice_instrumental_pooled female age party_member member_years voice_prior   z_votes_own z_votes_other_1 z_votes_other_2 ///
>  d_experience_campaign pre_doortodoor pre_days_doortodoor pre_posters pre_booth pre_online pre_call pre_friends pre_others , r

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(17, 989)        =  {res}     2.05
                                                {txt}Prob > F          = {res}    0.0073
                                                {txt}R-squared         = {res}    0.0290
                                                {txt}Root MSE          =    {res} .46954

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}voice_instrumental_~d{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}female {c |}{col 23}{res}{space 2} -.013758{col 35}{space 2} .0375024{col 46}{space 1}   -0.37{col 55}{space 3}0.714{col 63}{space 4}-.0873513{col 76}{space 3} .0598354
{txt}{space 18}age {c |}{col 23}{res}{space 2} .0021907{col 35}{space 2} .0011374{col 46}{space 1}    1.93{col 55}{space 3}0.054{col 63}{space 4}-.0000414{col 76}{space 3} .0044227
{txt}{space 9}party_member {c |}{col 23}{res}{space 2} .1601682{col 35}{space 2} .0587806{col 46}{space 1}    2.72{col 55}{space 3}0.007{col 63}{space 4}  .044819{col 76}{space 3} .2755173
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}-.0009915{col 35}{space 2}  .001354{col 46}{space 1}   -0.73{col 55}{space 3}0.464{col 63}{space 4}-.0036486{col 76}{space 3} .0016656
{txt}{space 10}voice_prior {c |}{col 23}{res}{space 2} .0015991{col 35}{space 2} .0129095{col 46}{space 1}    0.12{col 55}{space 3}0.901{col 63}{space 4}-.0237341{col 76}{space 3} .0269323
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2}-.0152564{col 35}{space 2} .0177457{col 46}{space 1}   -0.86{col 55}{space 3}0.390{col 63}{space 4}-.0500799{col 76}{space 3} .0195671
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2} .0184906{col 35}{space 2} .0149592{col 46}{space 1}    1.24{col 55}{space 3}0.217{col 63}{space 4}-.0108649{col 76}{space 3} .0478461
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.0345409{col 35}{space 2} .0144579{col 46}{space 1}   -2.39{col 55}{space 3}0.017{col 63}{space 4}-.0629126{col 76}{space 3}-.0061692
{txt}d_experience_campaign {c |}{col 23}{res}{space 2}-.0667533{col 35}{space 2} .0729588{col 46}{space 1}   -0.91{col 55}{space 3}0.360{col 63}{space 4}-.2099251{col 76}{space 3} .0764185
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} .0320339{col 35}{space 2} .0427118{col 46}{space 1}    0.75{col 55}{space 3}0.453{col 63}{space 4}-.0517823{col 76}{space 3} .1158501
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0009747{col 35}{space 2} .0004868{col 46}{space 1}   -2.00{col 55}{space 3}0.046{col 63}{space 4}-.0019301{col 76}{space 3}-.0000193
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2} .1022565{col 35}{space 2} .0456144{col 46}{space 1}    2.24{col 55}{space 3}0.025{col 63}{space 4} .0127443{col 76}{space 3} .1917686
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2}-.0481833{col 35}{space 2} .0597215{col 46}{space 1}   -0.81{col 55}{space 3}0.420{col 63}{space 4}-.1653787{col 76}{space 3}  .069012
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .0754891{col 35}{space 2} .0384048{col 46}{space 1}    1.97{col 55}{space 3}0.050{col 63}{space 4} .0001248{col 76}{space 3} .1508533
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2}-.0585894{col 35}{space 2} .0434864{col 46}{space 1}   -1.35{col 55}{space 3}0.178{col 63}{space 4}-.1439256{col 76}{space 3} .0267467
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2}-.0234386{col 35}{space 2}  .050509{col 46}{space 1}   -0.46{col 55}{space 3}0.643{col 63}{space 4}-.1225558{col 76}{space 3} .0756786
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2} .0658884{col 35}{space 2} .0475412{col 46}{space 1}    1.39{col 55}{space 3}0.166{col 63}{space 4}-.0274048{col 76}{space 3} .1591816
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .0933216{col 35}{space 2} .0814331{col 46}{space 1}    1.15{col 55}{space 3}0.252{col 63}{space 4}-.0664798{col 76}{space 3} .2531231
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. test female age party_member member_years voice_prior   z_votes_own z_votes_other_1 z_votes_other_2 ///
>  d_experience_campaign pre_doortodoor pre_days_doortodoor pre_posters pre_booth pre_online pre_call pre_friends pre_others

{p 0 7}{space 1}{text:( 1)}{space 1} {res}female = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} age = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} party_member = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} member_years = 0{p_end}
{p 0 7}{space 1}{text:( 5)}{space 1} voice_prior = 0{p_end}
{p 0 7}{space 1}{text:( 6)}{space 1} z_votes_own = 0{p_end}
{p 0 7}{space 1}{text:( 7)}{space 1} z_votes_other_1 = 0{p_end}
{p 0 7}{space 1}{text:( 8)}{space 1} z_votes_other_2 = 0{p_end}
{p 0 7}{space 1}{text:( 9)}{space 1} d_experience_campaign = 0{p_end}
{p 0 7}{space 1}{text:(10)}{space 1} pre_doortodoor = 0{p_end}
{p 0 7}{space 1}{text:(11)}{space 1} pre_days_doortodoor = 0{p_end}
{p 0 7}{space 1}{text:(12)}{space 1} pre_posters = 0{p_end}
{p 0 7}{space 1}{text:(13)}{space 1} pre_booth = 0{p_end}
{p 0 7}{space 1}{text:(14)}{space 1} pre_online = 0{p_end}
{p 0 7}{space 1}{text:(15)}{space 1} pre_call = 0{p_end}
{p 0 7}{space 1}{text:(16)}{space 1} pre_friends = 0{p_end}
{p 0 7}{space 1}{text:(17)}{space 1} pre_others = 0{p_end}

{txt}       F( 17,   989) ={res}    2.05
{txt}{col 13}Prob > F ={res}    0.0073
{txt}
{com}.  
.  
.  
.  reg  voice_intrinsic_pooled female age party_member member_years voice_prior   z_votes_own z_votes_other_1 z_votes_other_2 ///
>  d_experience_campaign pre_doortodoor pre_days_doortodoor pre_posters pre_booth pre_online pre_call pre_friends pre_others , r

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(17, 989)        =  {res}     1.65
                                                {txt}Prob > F          = {res}    0.0472
                                                {txt}R-squared         = {res}    0.0232
                                                {txt}Root MSE          =    {res} .46953

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}voice_intrinsic_poo~d{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}female {c |}{col 23}{res}{space 2} .0121237{col 35}{space 2} .0378235{col 46}{space 1}    0.32{col 55}{space 3}0.749{col 63}{space 4}-.0620998{col 76}{space 3} .0863472
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0030852{col 35}{space 2} .0011095{col 46}{space 1}   -2.78{col 55}{space 3}0.006{col 63}{space 4}-.0052625{col 76}{space 3}-.0009079
{txt}{space 9}party_member {c |}{col 23}{res}{space 2}-.1309607{col 35}{space 2} .0748934{col 46}{space 1}   -1.75{col 55}{space 3}0.081{col 63}{space 4}-.2779289{col 76}{space 3} .0160075
{txt}{space 9}member_years {c |}{col 23}{res}{space 2} .0027173{col 35}{space 2} .0013116{col 46}{space 1}    2.07{col 55}{space 3}0.039{col 63}{space 4} .0001435{col 76}{space 3} .0052912
{txt}{space 10}voice_prior {c |}{col 23}{res}{space 2} .0226761{col 35}{space 2} .0123429{col 46}{space 1}    1.84{col 55}{space 3}0.066{col 63}{space 4}-.0015452{col 76}{space 3} .0468974
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2}-.0266794{col 35}{space 2}  .013443{col 46}{space 1}   -1.98{col 55}{space 3}0.047{col 63}{space 4}-.0530595{col 76}{space 3}-.0002993
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2}-.0064149{col 35}{space 2} .0158662{col 46}{space 1}   -0.40{col 55}{space 3}0.686{col 63}{space 4}-.0375502{col 76}{space 3} .0247203
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2} .0153159{col 35}{space 2} .0158113{col 46}{space 1}    0.97{col 55}{space 3}0.333{col 63}{space 4}-.0157116{col 76}{space 3} .0463435
{txt}d_experience_campaign {c |}{col 23}{res}{space 2} .0968395{col 35}{space 2} .0766005{col 46}{space 1}    1.26{col 55}{space 3}0.206{col 63}{space 4}-.0534788{col 76}{space 3} .2471577
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} .0032953{col 35}{space 2} .0400068{col 46}{space 1}    0.08{col 55}{space 3}0.934{col 63}{space 4}-.0752128{col 76}{space 3} .0818033
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2} .0005777{col 35}{space 2} .0005311{col 46}{space 1}    1.09{col 55}{space 3}0.277{col 63}{space 4}-.0004646{col 76}{space 3} .0016199
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2}-.0266164{col 35}{space 2}  .045173{col 46}{space 1}   -0.59{col 55}{space 3}0.556{col 63}{space 4}-.1152625{col 76}{space 3} .0620296
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2}-.0642555{col 35}{space 2} .0603644{col 46}{space 1}   -1.06{col 55}{space 3}0.287{col 63}{space 4}-.1827125{col 76}{space 3} .0542015
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2}-.0234269{col 35}{space 2}  .039066{col 46}{space 1}   -0.60{col 55}{space 3}0.549{col 63}{space 4}-.1000887{col 76}{space 3} .0532349
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .0462393{col 35}{space 2} .0440309{col 46}{space 1}    1.05{col 55}{space 3}0.294{col 63}{space 4}-.0401655{col 76}{space 3}  .132644
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2}-.0466552{col 35}{space 2} .0508549{col 46}{space 1}   -0.92{col 55}{space 3}0.359{col 63}{space 4}-.1464511{col 76}{space 3} .0531407
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2}-.0341813{col 35}{space 2} .0449034{col 46}{space 1}   -0.76{col 55}{space 3}0.447{col 63}{space 4}-.1222981{col 76}{space 3} .0539355
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .4972248{col 35}{space 2} .0922889{col 46}{space 1}    5.39{col 55}{space 3}0.000{col 63}{space 4} .3161202{col 76}{space 3} .6783293
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. test female age party_member member_years voice_prior   z_votes_own z_votes_other_1 z_votes_other_2 ///
>  d_experience_campaign pre_doortodoor pre_days_doortodoor pre_posters pre_booth pre_online pre_call pre_friends pre_others

{p 0 7}{space 1}{text:( 1)}{space 1} {res}female = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} age = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} party_member = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} member_years = 0{p_end}
{p 0 7}{space 1}{text:( 5)}{space 1} voice_prior = 0{p_end}
{p 0 7}{space 1}{text:( 6)}{space 1} z_votes_own = 0{p_end}
{p 0 7}{space 1}{text:( 7)}{space 1} z_votes_other_1 = 0{p_end}
{p 0 7}{space 1}{text:( 8)}{space 1} z_votes_other_2 = 0{p_end}
{p 0 7}{space 1}{text:( 9)}{space 1} d_experience_campaign = 0{p_end}
{p 0 7}{space 1}{text:(10)}{space 1} pre_doortodoor = 0{p_end}
{p 0 7}{space 1}{text:(11)}{space 1} pre_days_doortodoor = 0{p_end}
{p 0 7}{space 1}{text:(12)}{space 1} pre_posters = 0{p_end}
{p 0 7}{space 1}{text:(13)}{space 1} pre_booth = 0{p_end}
{p 0 7}{space 1}{text:(14)}{space 1} pre_online = 0{p_end}
{p 0 7}{space 1}{text:(15)}{space 1} pre_call = 0{p_end}
{p 0 7}{space 1}{text:(16)}{space 1} pre_friends = 0{p_end}
{p 0 7}{space 1}{text:(17)}{space 1} pre_others = 0{p_end}

{txt}       F( 17,   989) ={res}    1.65
{txt}{col 13}Prob > F ={res}    0.0472
{txt}
{com}. 
. 
{txt}end of do-file

{com}. do "$scripts/tables/Table_A4_balance_feedback.do"
{txt}
{com}. 
. use "$data/clean/clean_main_complete.dta" , replace
{txt}
{com}. 
. 
. tempfile main
{txt}
{com}. save `main', replace
{txt}(note: file /var/folders/kh/c_7hg45109q4mrtxd_bnv5t00000gn/T//S_01965.000001 not found)
file /var/folders/kh/c_7hg45109q4mrtxd_bnv5t00000gn/T//S_01965.000001 saved

{com}. 
. clear all
{res}{txt}
{com}. eststo clear
{txt}
{com}. estimates drop _all
{txt}
{com}. 
. loc columns = 6
{txt}
{com}. 
. set obs 10
{txt}{p}
number of observations (_N)  was 0,
now 10
{p_end}

{com}. gen x = 1
{txt}
{com}. gen y = 1
{txt}
{com}. 
. forval i = 1/`columns' {c -(}
{txt}  2{com}.         eststo col`i': reg x y
{txt}  3{com}. {c )-} 
{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. loc count = 1
{txt}
{com}. 
. loc statnames ""
{txt}
{com}. loc varlabels ""
{txt}
{com}. 
. /* Custom fill cells */
. 
. 
. 
. use `main', clear
{txt}
{com}. 
. 
. 
. gen pana=.
{txt}(1,007 missing values generated)

{com}. gen panb=.
{txt}(1,007 missing values generated)

{com}. gen panc=.
{txt}(1,007 missing values generated)

{com}. gen pand=.
{txt}(1,007 missing values generated)

{com}. gen pane=.
{txt}(1,007 missing values generated)

{com}. gen intt= .
{txt}(1,007 missing values generated)

{com}. gen empt =. 
{txt}(1,007 missing values generated)

{com}. gen part_aff = .
{txt}(1,007 missing values generated)

{com}. 
. label var pana "\underline{c -(}Individual level characteristics{c )-} " 
{txt}
{com}. label var panb "\underline{c -(}Prior experience{c )-} " 
{txt}
{com}. 
. label var empt " "
{txt}
{com}.   
.   foreach yvar of varlist pana  female age party_member member_years voice_prior   z_votes_own z_votes_other_1 z_votes_other_2 ///
>  empt panb d_experience_campaign pre_doortodoor pre_days_doortodoor pre_posters pre_booth pre_online pre_call pre_friends pre_others  empt  {c -(}
{txt}  2{com}.         qui sum `yvar', d
{txt}  3{com}.         if `r(N)'!=0 {c -(}
{txt}  4{com}.         qui sum `yvar' if  control ==1
{txt}  5{com}.         cap: estadd loc thisstat`count' = string(`r(mean)', "%9.2f"): col1
{txt}  6{com}.         
.         qui sum `yvar' if  feedback_pooled == 1
{txt}  7{com}.         cap: estadd loc thisstat`count' = string(`r(mean)', "%9.2f"): col2
{txt}  8{com}.         
.                 qui sum `yvar' if no_feedback_pooled == 1
{txt}  9{com}.         cap: estadd loc thisstat`count' = string(`r(mean)', "%9.2f"): col3
{txt} 10{com}.         
.         
.         reg `yvar'  no_feedback_pooled feedback_pooled, r
{txt} 11{com}. 
.         
.         test feedback_pooled
{txt} 12{com}.         cap: estadd loc thisstat`count' = string(`r(p)', "%9.2f"): col4
{txt} 13{com}.         
.         
.         test no_feedback_pooled
{txt} 14{com}.         cap: estadd loc thisstat`count' = string(`r(p)', "%9.2f"): col5
{txt} 15{com}. 
.         test  no_feedback_pooled = feedback_pooled
{txt} 16{com}.         cap: estadd loc thisstat`count' = string(`r(p)', "%9.2f"): col6
{txt} 17{com}. 
. 
.         {c )-}
{txt} 18{com}. 
.         /* Row Labels */
.         
.         loc thisvarlabel: variable label `yvar'
{txt} 19{com}.         local varlabels "`varlabels' "`thisvarlabel'" "
{txt} 20{com}.         loc statnames "`statnames' thisstat`count'"
{txt} 21{com}.         loc count = `count' + 1
{txt} 22{com}. {c )-}

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     0.14
                                                {txt}Prob > F          = {res}    0.8712
                                                {txt}R-squared         = {res}    0.0003
                                                {txt}Root MSE          =    {res} .40173

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}            female{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
no_feedback_pooled {c |}{col 20}{res}{space 2}-.0159728{col 32}{space 2} .0308485{col 43}{space 1}   -0.52{col 52}{space 3}0.605{col 60}{space 4}-.0765076{col 73}{space 3} .0445621
{txt}{space 3}feedback_pooled {c |}{col 20}{res}{space 2}-.0059249{col 32}{space 2} .0314115{col 43}{space 1}   -0.19{col 52}{space 3}0.850{col 60}{space 4}-.0675646{col 73}{space 3} .0557148
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .2089552{col 32}{space 2}  .022246{col 43}{space 1}    9.39{col 52}{space 3}0.000{col 60}{space 4} .1653012{col 73}{space 3} .2526093
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.04
{txt}{col 13}Prob > F ={res}    0.8504

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.27
{txt}{col 13}Prob > F ={res}    0.6047

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled - feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.11
{txt}{col 13}Prob > F ={res}    0.7443

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     0.30
                                                {txt}Prob > F          = {res}    0.7421
                                                {txt}R-squared         = {res}    0.0006
                                                {txt}Root MSE          =    {res} 17.404

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}               age{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
no_feedback_pooled {c |}{col 20}{res}{space 2}-.8764074{col 32}{space 2} 1.338729{col 43}{space 1}   -0.65{col 52}{space 3}0.513{col 60}{space 4}-3.503436{col 73}{space 3} 1.750621
{txt}{space 3}feedback_pooled {c |}{col 20}{res}{space 2}-.9135685{col 32}{space 2} 1.343232{col 43}{space 1}   -0.68{col 52}{space 3}0.497{col 60}{space 4}-3.549432{col 73}{space 3} 1.722295
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 48.10448{col 32}{space 2} .9430885{col 43}{space 1}   51.01{col 52}{space 3}0.000{col 60}{space 4} 46.25383{col 73}{space 3} 49.95513
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.46
{txt}{col 13}Prob > F ={res}    0.4966

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.43
{txt}{col 13}Prob > F ={res}    0.5128

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled - feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9780

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     0.24
                                                {txt}Prob > F          = {res}    0.7874
                                                {txt}R-squared         = {res}    0.0005
                                                {txt}Root MSE          =    {res} .22357

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}      party_member{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
no_feedback_pooled {c |}{col 20}{res}{space 2} .0099939{col 32}{space 2} .0175102{col 43}{space 1}    0.57{col 52}{space 3}0.568{col 60}{space 4}-.0243669{col 73}{space 3} .0443546
{txt}{space 3}feedback_pooled {c |}{col 20}{res}{space 2} .0112166{col 32}{space 2} .0175583{col 43}{space 1}    0.64{col 52}{space 3}0.523{col 60}{space 4}-.0232384{col 73}{space 3} .0456717
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .9402985{col 32}{space 2} .0129644{col 43}{space 1}   72.53{col 52}{space 3}0.000{col 60}{space 4} .9148582{col 73}{space 3} .9657388
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.41
{txt}{col 13}Prob > F ={res}    0.5231

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.33
{txt}{col 13}Prob > F ={res}    0.5683

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled - feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9416

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     1.25
                                                {txt}Prob > F          = {res}    0.2860
                                                {txt}R-squared         = {res}    0.0025
                                                {txt}Root MSE          =    {res} 15.292

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}      member_years{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
no_feedback_pooled {c |}{col 20}{res}{space 2}-.2045396{col 32}{space 2} 1.170583{col 43}{space 1}   -0.17{col 52}{space 3}0.861{col 60}{space 4} -2.50161{col 73}{space 3} 2.092531
{txt}{space 3}feedback_pooled {c |}{col 20}{res}{space 2} 1.519118{col 32}{space 2} 1.189501{col 43}{space 1}    1.28{col 52}{space 3}0.202{col 60}{space 4}-.8150748{col 73}{space 3} 3.853311
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 15.12179{col 32}{space 2} .8331124{col 43}{space 1}   18.15{col 52}{space 3}0.000{col 60}{space 4} 13.48695{col 73}{space 3} 16.75663
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    1.63
{txt}{col 13}Prob > F ={res}    0.2019

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.03
{txt}{col 13}Prob > F ={res}    0.8613

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled - feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    2.13
{txt}{col 13}Prob > F ={res}    0.1451

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     1.06
                                                {txt}Prob > F          = {res}    0.3471
                                                {txt}R-squared         = {res}    0.0021
                                                {txt}Root MSE          =    {res} 1.2359

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}       voice_prior{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
no_feedback_pooled {c |}{col 20}{res}{space 2} .1117134{col 32}{space 2} .0946267{col 43}{space 1}    1.18{col 52}{space 3}0.238{col 60}{space 4}-.0739754{col 73}{space 3} .2974022
{txt}{space 3}feedback_pooled {c |}{col 20}{res}{space 2} .1259611{col 32}{space 2} .0954476{col 43}{space 1}    1.32{col 52}{space 3}0.187{col 60}{space 4}-.0613386{col 73}{space 3} .3132608
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 3.113433{col 32}{space 2} .0664248{col 43}{space 1}   46.87{col 52}{space 3}0.000{col 60}{space 4} 2.983086{col 73}{space 3}  3.24378
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    1.74
{txt}{col 13}Prob > F ={res}    0.1872

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    1.39
{txt}{col 13}Prob > F ={res}    0.2381

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled - feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8822

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     1.74
                                                {txt}Prob > F          = {res}    0.1768
                                                {txt}R-squared         = {res}    0.0041
                                                {txt}Root MSE          =    {res} .91948

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}       z_votes_own{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
no_feedback_pooled {c |}{col 20}{res}{space 2}-.1128182{col 32}{space 2} .0708402{col 43}{space 1}   -1.59{col 52}{space 3}0.112{col 60}{space 4}-.2518301{col 73}{space 3} .0261937
{txt}{space 3}feedback_pooled {c |}{col 20}{res}{space 2}-.1334807{col 32}{space 2} .0767797{col 43}{space 1}   -1.74{col 52}{space 3}0.082{col 60}{space 4}-.2841477{col 73}{space 3} .0171863
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .0083598{col 32}{space 2} .0576422{col 43}{space 1}    0.15{col 52}{space 3}0.885{col 60}{space 4}-.1047531{col 73}{space 3} .1214727
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    3.02
{txt}{col 13}Prob > F ={res}    0.0824

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    2.54
{txt}{col 13}Prob > F ={res}    0.1116

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled - feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.10
{txt}{col 13}Prob > F ={res}    0.7519

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     0.48
                                                {txt}Prob > F          = {res}    0.6205
                                                {txt}R-squared         = {res}    0.0009
                                                {txt}Root MSE          =    {res} .99799

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}   z_votes_other_1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
no_feedback_pooled {c |}{col 20}{res}{space 2} .0433337{col 32}{space 2} .0820866{col 43}{space 1}    0.53{col 52}{space 3}0.598{col 60}{space 4}-.1177474{col 73}{space 3} .2044147
{txt}{space 3}feedback_pooled {c |}{col 20}{res}{space 2}-.0293222{col 32}{space 2} .0737707{col 43}{space 1}   -0.40{col 52}{space 3}0.691{col 60}{space 4}-.1740846{col 73}{space 3} .1154402
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-.0005204{col 32}{space 2} .0576599{col 43}{space 1}   -0.01{col 52}{space 3}0.993{col 60}{space 4}-.1136682{col 73}{space 3} .1126274
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.16
{txt}{col 13}Prob > F ={res}    0.6911

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.28
{txt}{col 13}Prob > F ={res}    0.5977

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled - feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.95
{txt}{col 13}Prob > F ={res}    0.3288

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     1.00
                                                {txt}Prob > F          = {res}    0.3682
                                                {txt}R-squared         = {res}    0.0018
                                                {txt}Root MSE          =    {res} 1.0293

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}   z_votes_other_2{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
no_feedback_pooled {c |}{col 20}{res}{space 2}-.0001067{col 32}{space 2} .0825493{col 43}{space 1}   -0.00{col 52}{space 3}0.999{col 60}{space 4}-.1620957{col 73}{space 3} .1618823
{txt}{space 3}feedback_pooled {c |}{col 20}{res}{space 2}-.0930569{col 32}{space 2} .0771111{col 43}{space 1}   -1.21{col 52}{space 3}0.228{col 60}{space 4}-.2443743{col 73}{space 3} .0582606
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .0031104{col 32}{space 2} .0576575{col 43}{space 1}    0.05{col 52}{space 3}0.957{col 60}{space 4}-.1100326{col 73}{space 3} .1162535
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    1.46
{txt}{col 13}Prob > F ={res}    0.2278

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9990

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled - feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    1.41
{txt}{col 13}Prob > F ={res}    0.2347

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     1.19
                                                {txt}Prob > F          = {res}    0.3055
                                                {txt}R-squared         = {res}    0.0023
                                                {txt}Root MSE          =    {res} .41669

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}d_experience_cam~n{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
no_feedback_pooled {c |}{col 20}{res}{space 2}-.0187484{col 32}{space 2} .0326885{col 43}{space 1}   -0.57{col 52}{space 3}0.566{col 60}{space 4}-.0828939{col 73}{space 3} .0453972
{txt}{space 3}feedback_pooled {c |}{col 20}{res}{space 2}  .029896{col 32}{space 2} .0317157{col 43}{space 1}    0.94{col 52}{space 3}0.346{col 60}{space 4}-.0323406{col 73}{space 3} .0921325
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .7731343{col 32}{space 2} .0229159{col 43}{space 1}   33.74{col 52}{space 3}0.000{col 60}{space 4} .7281657{col 73}{space 3} .8181029
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.89
{txt}{col 13}Prob > F ={res}    0.3461

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.33
{txt}{col 13}Prob > F ={res}    0.5664

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled - feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    2.31
{txt}{col 13}Prob > F ={res}    0.1288

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     1.43
                                                {txt}Prob > F          = {res}    0.2404
                                                {txt}R-squared         = {res}    0.0028
                                                {txt}Root MSE          =    {res} .49993

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}    pre_doortodoor{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
no_feedback_pooled {c |}{col 20}{res}{space 2}-.0013092{col 32}{space 2} .0384875{col 43}{space 1}   -0.03{col 52}{space 3}0.973{col 60}{space 4}-.0768343{col 73}{space 3} .0742158
{txt}{space 3}feedback_pooled {c |}{col 20}{res}{space 2} .0559475{col 32}{space 2} .0387431{col 43}{space 1}    1.44{col 52}{space 3}0.149{col 60}{space 4}-.0200792{col 73}{space 3} .1319742
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .4925373{col 32}{space 2} .0273557{col 43}{space 1}   18.00{col 52}{space 3}0.000{col 60}{space 4} .4388565{col 73}{space 3} .5462181
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    2.09
{txt}{col 13}Prob > F ={res}    0.1490

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9729

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled - feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    2.21
{txt}{col 13}Prob > F ={res}    0.1377

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     0.27
                                                {txt}Prob > F          = {res}    0.7597
                                                {txt}R-squared         = {res}    0.0005
                                                {txt}Root MSE          =    {res} 32.644

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}pre_days_doortod~r{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
no_feedback_pooled {c |}{col 20}{res}{space 2}-1.018993{col 32}{space 2} 2.538997{col 43}{space 1}   -0.40{col 52}{space 3}0.688{col 60}{space 4}-6.001342{col 73}{space 3} 3.963357
{txt}{space 3}feedback_pooled {c |}{col 20}{res}{space 2}  .781592{col 32}{space 2}  2.58323{col 43}{space 1}    0.30{col 52}{space 3}0.762{col 60}{space 4}-4.287556{col 73}{space 3}  5.85074
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 13.78507{col 32}{space 2} 1.893883{col 43}{space 1}    7.28{col 52}{space 3}0.000{col 60}{space 4} 10.06865{col 73}{space 3}  17.5015
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.09
{txt}{col 13}Prob > F ={res}    0.7623

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.16
{txt}{col 13}Prob > F ={res}    0.6883

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled - feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.55
{txt}{col 13}Prob > F ={res}    0.4604

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     1.31
                                                {txt}Prob > F          = {res}    0.2697
                                                {txt}R-squared         = {res}    0.0026
                                                {txt}Root MSE          =    {res} .48482

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}       pre_posters{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
no_feedback_pooled {c |}{col 20}{res}{space 2} .0258532{col 32}{space 2} .0375906{col 43}{space 1}    0.69{col 52}{space 3}0.492{col 60}{space 4} -.047912{col 73}{space 3} .0996184
{txt}{space 3}feedback_pooled {c |}{col 20}{res}{space 2} .0605156{col 32}{space 2} .0375403{col 43}{space 1}    1.61{col 52}{space 3}0.107{col 60}{space 4}-.0131508{col 73}{space 3}  .134182
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .5940299{col 32}{space 2} .0268706{col 43}{space 1}   22.11{col 52}{space 3}0.000{col 60}{space 4}  .541301{col 73}{space 3} .6467587
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    2.60
{txt}{col 13}Prob > F ={res}    0.1073

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.47
{txt}{col 13}Prob > F ={res}    0.4918

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled - feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.87
{txt}{col 13}Prob > F ={res}    0.3507

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     2.69
                                                {txt}Prob > F          = {res}    0.0687
                                                {txt}R-squared         = {res}    0.0054
                                                {txt}Root MSE          =    {res}  .4602

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}         pre_booth{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
no_feedback_pooled {c |}{col 20}{res}{space 2}-.0553548{col 32}{space 2} .0359344{col 43}{space 1}   -1.54{col 52}{space 3}0.124{col 60}{space 4}-.1258699{col 73}{space 3} .0151603
{txt}{space 3}feedback_pooled {c |}{col 20}{res}{space 2} .0258254{col 32}{space 2} .0349564{col 43}{space 1}    0.74{col 52}{space 3}0.460{col 60}{space 4}-.0427706{col 73}{space 3} .0944214
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .7044776{col 32}{space 2} .0249663{col 43}{space 1}   28.22{col 52}{space 3}0.000{col 60}{space 4} .6554855{col 73}{space 3} .7534697
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.55
{txt}{col 13}Prob > F ={res}    0.4602

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    2.37
{txt}{col 13}Prob > F ={res}    0.1238

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled - feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    5.20
{txt}{col 13}Prob > F ={res}    0.0228

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     1.30
                                                {txt}Prob > F          = {res}    0.2728
                                                {txt}R-squared         = {res}    0.0026
                                                {txt}Root MSE          =    {res} .49787

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}        pre_online{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
no_feedback_pooled {c |}{col 20}{res}{space 2} .0586977{col 32}{space 2} .0382086{col 43}{space 1}    1.54{col 52}{space 3}0.125{col 60}{space 4}-.0162801{col 73}{space 3} .1336756
{txt}{space 3}feedback_pooled {c |}{col 20}{res}{space 2} .0457259{col 32}{space 2} .0385246{col 43}{space 1}    1.19{col 52}{space 3}0.236{col 60}{space 4} -.029872{col 73}{space 3} .1213238
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .4179104{col 32}{space 2} .0269875{col 43}{space 1}   15.49{col 52}{space 3}0.000{col 60}{space 4} .3649522{col 73}{space 3} .4708687
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    1.41
{txt}{col 13}Prob > F ={res}    0.2355

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    2.36
{txt}{col 13}Prob > F ={res}    0.1248

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled - feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.11
{txt}{col 13}Prob > F ={res}    0.7367

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     0.05
                                                {txt}Prob > F          = {res}    0.9496
                                                {txt}R-squared         = {res}    0.0001
                                                {txt}Root MSE          =    {res} .39339

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}          pre_call{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
no_feedback_pooled {c |}{col 20}{res}{space 2} .0079078{col 32}{space 2}  .030138{col 43}{space 1}    0.26{col 52}{space 3}0.793{col 60}{space 4}-.0512329{col 73}{space 3} .0670486
{txt}{space 3}feedback_pooled {c |}{col 20}{res}{space 2} .0088648{col 32}{space 2} .0304416{col 43}{space 1}    0.29{col 52}{space 3}0.771{col 60}{space 4}-.0508718{col 73}{space 3} .0686013
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .1850746{col 32}{space 2} .0212499{col 43}{space 1}    8.71{col 52}{space 3}0.000{col 60}{space 4} .1433752{col 73}{space 3}  .226774
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.08
{txt}{col 13}Prob > F ={res}    0.7710

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.07
{txt}{col 13}Prob > F ={res}    0.7931

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled - feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9750

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     1.22
                                                {txt}Prob > F          = {res}    0.2952
                                                {txt}R-squared         = {res}    0.0025
                                                {txt}Root MSE          =    {res} .47303

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}       pre_friends{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
no_feedback_pooled {c |}{col 20}{res}{space 2}-.0370778{col 32}{space 2} .0366843{col 43}{space 1}   -1.01{col 52}{space 3}0.312{col 60}{space 4}-.1090645{col 73}{space 3} .0349089
{txt}{space 3}feedback_pooled {c |}{col 20}{res}{space 2} .0192221{col 32}{space 2} .0362752{col 43}{space 1}    0.53{col 52}{space 3}0.596{col 60}{space 4}-.0519618{col 73}{space 3} .0904059
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .6686567{col 32}{space 2} .0257553{col 43}{space 1}   25.96{col 52}{space 3}0.000{col 60}{space 4} .6181164{col 73}{space 3} .7191971
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.28
{txt}{col 13}Prob > F ={res}    0.5963

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    1.02
{txt}{col 13}Prob > F ={res}    0.3124

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled - feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    2.37
{txt}{col 13}Prob > F ={res}    0.1237

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     0.30
                                                {txt}Prob > F          = {res}    0.7390
                                                {txt}R-squared         = {res}    0.0006
                                                {txt}Root MSE          =    {res}  .3368

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}        pre_others{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
no_feedback_pooled {c |}{col 20}{res}{space 2}  .012176{col 32}{space 2} .0254934{col 43}{space 1}    0.48{col 52}{space 3}0.633{col 60}{space 4}-.0378506{col 73}{space 3} .0622025
{txt}{space 3}feedback_pooled {c |}{col 20}{res}{space 2}  .019991{col 32}{space 2} .0260656{col 43}{space 1}    0.77{col 52}{space 3}0.443{col 60}{space 4}-.0311584{col 73}{space 3} .0711403
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}  .119403{col 32}{space 2} .0177428{col 43}{space 1}    6.73{col 52}{space 3}0.000{col 60}{space 4} .0845858{col 73}{space 3} .1542202
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.59
{txt}{col 13}Prob > F ={res}    0.4433

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.23
{txt}{col 13}Prob > F ={res}    0.6330

{p 0 7}{space 1}{text:( 1)}{space 1} no_feedback_pooled - feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.09
{txt}{col 13}Prob > F ={res}    0.7677
{txt}
{com}. 
.   
. 
. /* Footnotes */
. 
. loc prehead "\begin{c -(}tabular{c )-}{c -(}l*{c -(}`columns'{c )-}{c -(}c{c )-}{c )-} \toprule"
{txt}
{com}. 
. loc postfoot "\bottomrule \end{c -(}tabular{c )-}"
{txt}
{com}. 
. esttab col* using "$output/balance_pooled_feedback", booktabs cells(none) nogap mtitle("Control" "Feedback" "No feedback"  "p(Feed=Cont)"  "p(No Feed=Cont)"  "p(Feed=No Feed)" ) ///
>  stats(`statnames', labels(`varlabels'))  prehead("`prehead'") postfoot("`postfoot'") compress wrap replace
{res}{txt}(output written to {browse  `"/Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/output/balance_pooled_feedback.tex"'})

{com}. 
. eststo clear
{txt}
{com}. 
. 
. 
{txt}end of do-file

{com}. do "$scripts/tables/Table_A5_corr_doors_int.do"
{txt}
{com}. 
. 
. use "$data/clean/clean_main_complete.dta" , replace
{txt}
{com}. 
. 
. ********************************************************************************
. 
. 
. global control z_voice_prior  female age member member_years d_experience_campaign   z_votes_own z_votes_other_1 z_votes_other_2  pre_doortodoor pre_days_doortodoor pre_posters pre_booth pre_online pre_call pre_friends pre_others 
{txt}
{com}.                    
. loc experiments "any_doors doors_wins "
{txt}
{com}. 
.                    
.                    
. preserve
{txt}
{com}. 
. clear all
{res}{txt}
{com}. eststo clear
{txt}
{com}. estimates drop _all
{txt}
{com}. 
. set obs 10
{txt}{p}
number of observations (_N)  was 0,
now 10
{p_end}

{com}. qui gen x = 1
{txt}
{com}. qui gen y = 1
{txt}
{com}. 
. loc columns = 0
{txt}
{com}. 
. foreach choice in `experiments' `experiments'{c -(}
{txt}  2{com}. 
.     loc ++columns
{txt}  3{com}.     qui eststo col`columns': reg x y
{txt}  4{com}. 
. {c )-}
{txt}
{com}. 
. restore
{txt}
{com}. 
. 
. /* Statistics */
. 
. loc colnum = 1
{txt}
{com}. loc colnames ""
{txt}
{com}. 
. 
. foreach choice in `experiments' {c -(}
{txt}  2{com}. 
. /* Statistics */
. 
. 
. 
.  
.  
. ********************************Panel A*****************************************
.         
.  xi: reg `choice'  int_doortodoor , vce(r) // 
{txt}  3{com}.    
.    
.    
.     sigstar int_doortodoor  , prec(3)
{txt}  4{com}.     estadd loc thisstat3 = "`r(bstar)'": col`colnum'
{txt}  5{com}.     estadd loc thisstat4 = "`r(sestar)'": col`colnum'
{txt}  6{com}.    
.                  
.         qui sum `choice' if control==1
{txt}  7{com}.         estadd loc thisstat6 = string(`r(mean)', "%9.2f"): col`colnum'
{txt}  8{com}.         
.         qui sum `choice' 
{txt}  9{com}.     estadd loc thisstat7 = string(`r(N)', "%9.0f"): col`colnum'
{txt} 10{com}.         
.         
.  xi: reg `choice'  int_doortodoor $control , vce(r) // 
{txt} 11{com}.    
.       loc ++colnum
{txt} 12{com}.    
.     sigstar int_doortodoor  , prec(3)
{txt} 13{com}.     estadd loc thisstat3 = "`r(bstar)'": col`colnum'
{txt} 14{com}.     estadd loc thisstat4 = "`r(sestar)'": col`colnum'
{txt} 15{com}.    
.                  
.         qui sum `choice' if control==1
{txt} 16{com}.         estadd loc thisstat6 = string(`r(mean)', "%9.2f"): col`colnum'
{txt} 17{com}.         
.         qui sum `choice' 
{txt} 18{com}.     estadd loc thisstat7 = string(`r(N)', "%9.0f"): col`colnum' 
{txt} 19{com}.         
.     estadd loc thisstat8 = "X": col`colnum'     
{txt} 20{com}.         
.     loc ++colnum
{txt} 21{com}. 
.         {c )-}

{txt}Linear regression                               Number of obs     = {res}       964
                                                {txt}F(1, 962)         =  {res}    18.82
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0360
                                                {txt}Root MSE          =    {res} .14009

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}     any_doors{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
int_doortodoor {c |}{col 16}{res}{space 2} .0572635{col 28}{space 2} .0131983{col 39}{space 1}    4.34{col 48}{space 3}0.000{col 56}{space 4} .0313627{col 69}{space 3} .0831642
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .0015601{col 28}{space 2} .0015605{col 39}{space 1}    1.00{col 48}{space 3}0.318{col 56}{space 4}-.0015022{col 69}{space 3} .0046224
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} int_doortodoor = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0572635{col 26}{space 2} .0131983{col 37}{space 1}    4.34{col 46}{space 3}0.000{col 54}{space 4} .0313627{col 67}{space 3} .0831642
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(17, 946)        =  {res}     1.25
                                                {txt}Prob > F          = {res}    0.2158
                                                {txt}R-squared         = {res}    0.0617
                                                {txt}Root MSE          =    {res} .13937

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}            any_doors{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}int_doortodoor {c |}{col 23}{res}{space 2} .0524098{col 35}{space 2} .0139191{col 46}{space 1}    3.77{col 55}{space 3}0.000{col 63}{space 4}  .025094{col 76}{space 3} .0797257
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .0033019{col 35}{space 2} .0051144{col 46}{space 1}    0.65{col 55}{space 3}0.519{col 63}{space 4}-.0067351{col 76}{space 3} .0133389
{txt}{space 15}female {c |}{col 23}{res}{space 2} .0346435{col 35}{space 2} .0150434{col 46}{space 1}    2.30{col 55}{space 3}0.022{col 63}{space 4} .0051212{col 76}{space 3} .0641657
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0010341{col 35}{space 2} .0003847{col 46}{space 1}   -2.69{col 55}{space 3}0.007{col 63}{space 4}-.0017891{col 76}{space 3}-.0002791
{txt}{space 9}member_years {c |}{col 23}{res}{space 2} .0003182{col 35}{space 2} .0003267{col 46}{space 1}    0.97{col 55}{space 3}0.330{col 63}{space 4} -.000323{col 76}{space 3} .0009594
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2} .0166539{col 35}{space 2}  .013772{col 46}{space 1}    1.21{col 55}{space 3}0.227{col 63}{space 4}-.0103733{col 76}{space 3} .0436811
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2}-.0040225{col 35}{space 2} .0032953{col 46}{space 1}   -1.22{col 55}{space 3}0.223{col 63}{space 4}-.0104893{col 76}{space 3} .0024444
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2} .0014458{col 35}{space 2} .0040449{col 46}{space 1}    0.36{col 55}{space 3}0.721{col 63}{space 4}-.0064922{col 76}{space 3} .0093838
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.0029181{col 35}{space 2} .0045239{col 46}{space 1}   -0.65{col 55}{space 3}0.519{col 63}{space 4} -.011796{col 76}{space 3} .0059599
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2}-.0093684{col 35}{space 2} .0126028{col 46}{space 1}   -0.74{col 55}{space 3}0.457{col 63}{space 4}-.0341011{col 76}{space 3} .0153644
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0001955{col 35}{space 2} .0001188{col 46}{space 1}   -1.65{col 55}{space 3}0.100{col 63}{space 4}-.0004286{col 76}{space 3} .0000376
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2}-.0016214{col 35}{space 2} .0144484{col 46}{space 1}   -0.11{col 55}{space 3}0.911{col 63}{space 4}-.0299761{col 76}{space 3} .0267333
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2} .0143665{col 35}{space 2} .0086813{col 46}{space 1}    1.65{col 55}{space 3}0.098{col 63}{space 4}-.0026704{col 76}{space 3} .0314034
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2}-.0074946{col 35}{space 2} .0123081{col 46}{space 1}   -0.61{col 55}{space 3}0.543{col 63}{space 4}-.0316489{col 76}{space 3} .0166597
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2}-.0032111{col 35}{space 2} .0129417{col 46}{space 1}   -0.25{col 55}{space 3}0.804{col 63}{space 4}-.0286088{col 76}{space 3} .0221866
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2}-.0006023{col 35}{space 2} .0153746{col 46}{space 1}   -0.04{col 55}{space 3}0.969{col 63}{space 4}-.0307747{col 76}{space 3} .0295701
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2} -.021493{col 35}{space 2} .0068083{col 46}{space 1}   -3.16{col 55}{space 3}0.002{col 63}{space 4}-.0348541{col 76}{space 3} -.008132
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .0324622{col 35}{space 2} .0183149{col 46}{space 1}    1.77{col 55}{space 3}0.077{col 63}{space 4}-.0034803{col 76}{space 3} .0684048
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} int_doortodoor = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0524098{col 26}{space 2} .0139191{col 37}{space 1}    3.77{col 46}{space 3}0.000{col 54}{space 4}  .025094{col 67}{space 3} .0797257
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(1, 962)         =  {res}    15.84
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.0316
                                                {txt}Root MSE          =    {res}  7.248

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}    doors_wins{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
int_doortodoor {c |}{col 16}{res}{space 2} 2.772434{col 28}{space 2} .6967101{col 39}{space 1}    3.98{col 48}{space 3}0.000{col 56}{space 4} 1.405187{col 69}{space 3} 4.139681
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .0015601{col 28}{space 2} .0015605{col 39}{space 1}    1.00{col 48}{space 3}0.318{col 56}{space 4}-.0015022{col 69}{space 3} .0046224
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} int_doortodoor = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  doors_wins{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 2.772434{col 26}{space 2} .6967101{col 37}{space 1}    3.98{col 46}{space 3}0.000{col 54}{space 4} 1.405187{col 67}{space 3} 4.139681
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(17, 946)        =  {res}     1.00
                                                {txt}Prob > F          = {res}    0.4532
                                                {txt}R-squared         = {res}    0.0530
                                                {txt}Root MSE          =    {res} 7.2281

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}           doors_wins{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}int_doortodoor {c |}{col 23}{res}{space 2}   2.4734{col 35}{space 2}  .683809{col 46}{space 1}    3.62{col 55}{space 3}0.000{col 63}{space 4} 1.131442{col 76}{space 3} 3.815358
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .1286378{col 35}{space 2} .2466061{col 46}{space 1}    0.52{col 55}{space 3}0.602{col 63}{space 4}-.3553205{col 76}{space 3} .6125961
{txt}{space 15}female {c |}{col 23}{res}{space 2} 1.894938{col 35}{space 2} .8412129{col 46}{space 1}    2.25{col 55}{space 3}0.025{col 63}{space 4}  .244079{col 76}{space 3} 3.545797
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0420509{col 35}{space 2} .0204186{col 46}{space 1}   -2.06{col 55}{space 3}0.040{col 63}{space 4}-.0821218{col 76}{space 3}-.0019799
{txt}{space 9}member_years {c |}{col 23}{res}{space 2} .0125892{col 35}{space 2} .0168584{col 46}{space 1}    0.75{col 55}{space 3}0.455{col 63}{space 4}-.0204949{col 76}{space 3} .0456733
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2} .5449502{col 35}{space 2} .6239128{col 46}{space 1}    0.87{col 55}{space 3}0.383{col 63}{space 4} -.679463{col 76}{space 3} 1.769363
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2}-.2576352{col 35}{space 2} .1731769{col 46}{space 1}   -1.49{col 55}{space 3}0.137{col 63}{space 4}-.5974905{col 76}{space 3} .0822201
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2}-.0831952{col 35}{space 2}  .215075{col 46}{space 1}   -0.39{col 55}{space 3}0.699{col 63}{space 4}-.5052745{col 76}{space 3} .3388842
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.0904362{col 35}{space 2} .2441939{col 46}{space 1}   -0.37{col 55}{space 3}0.711{col 63}{space 4}-.5696606{col 76}{space 3} .3887881
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2}-.3661745{col 35}{space 2} .6117014{col 46}{space 1}   -0.60{col 55}{space 3}0.550{col 63}{space 4}-1.566623{col 76}{space 3} .8342742
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0085767{col 35}{space 2} .0071202{col 46}{space 1}   -1.20{col 55}{space 3}0.229{col 63}{space 4}-.0225499{col 76}{space 3} .0053964
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2}  -.24269{col 35}{space 2}  .719133{col 46}{space 1}   -0.34{col 55}{space 3}0.736{col 63}{space 4} -1.65397{col 76}{space 3}  1.16859
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2} .4037517{col 35}{space 2} .4005968{col 46}{space 1}    1.01{col 55}{space 3}0.314{col 63}{space 4}-.3824094{col 76}{space 3} 1.189913
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .1502194{col 35}{space 2}  .514342{col 46}{space 1}    0.29{col 55}{space 3}0.770{col 63}{space 4}-.8591638{col 76}{space 3} 1.159603
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .4187985{col 35}{space 2} .7701237{col 46}{space 1}    0.54{col 55}{space 3}0.587{col 63}{space 4} -1.09255{col 76}{space 3} 1.930147
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2}-.2377457{col 35}{space 2} .7648972{col 46}{space 1}   -0.31{col 55}{space 3}0.756{col 63}{space 4}-1.738837{col 76}{space 3} 1.263346
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2}-1.026872{col 35}{space 2} .3763203{col 46}{space 1}   -2.73{col 55}{space 3}0.006{col 63}{space 4}-1.765392{col 76}{space 3}-.2883532
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 1.383446{col 35}{space 2} 1.027569{col 46}{space 1}    1.35{col 55}{space 3}0.179{col 63}{space 4}-.6331328{col 76}{space 3} 3.400025
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} int_doortodoor = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  doors_wins{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}   2.4734{col 26}{space 2}  .683809{col 37}{space 1}    3.62{col 46}{space 3}0.000{col 54}{space 4} 1.131442{col 67}{space 3} 3.815358
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
. 
.          
. 
. loc rowlabels " " " "  " "Intention: Any canvassing" " " "  "  "\hline Control mean" "Number of Observations" "Control variables" "
{txt}
{com}. 
. loc rowstats ""
{txt}
{com}. 
. forval i = 1/8 {c -(}
{txt}  2{com}.     loc rowstats "`rowstats' thisstat`i'"
{txt}  3{com}. {c )-}
{txt}
{com}. 
. 
. 
. esttab col* using "$output/corr_doors_int.tex", replace cells(none) booktabs nonotes compress alignment(c) nomtitle nogap noobs nobaselevels label stats(`rowstats', labels(`rowlabels')) ///
>   mgroups("Any door"  "Doors (wins)",  pattern(1 0 1 0 ) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-})) //  mtitle("Any" "Days" "Doors (wins)"  )
{res}{txt}(output written to {browse  `"/Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/output/corr_doors_int.tex"'})

{com}. 
. 
. 
{txt}end of do-file

{com}. * Table A6 was manually created
. do "$scripts/tables/Table_A7_treat_logit.do"
{txt}
{com}. 
. 
. use "$data/clean/clean_main_complete.dta" , replace
{txt}
{com}. 
. ********************************************************************************
. ********************************************************************************
. ********************************************************************************
. 
.  
.                    
. loc experiments " any_doors "
{txt}
{com}. 
.                    
.                    
. preserve
{txt}
{com}. 
. clear all
{res}{txt}
{com}. eststo clear
{txt}
{com}. estimates drop _all
{txt}
{com}. 
. set obs 10
{txt}{p}
number of observations (_N)  was 0,
now 10
{p_end}

{com}. qui gen x = 1
{txt}
{com}. qui gen y = 1
{txt}
{com}. 
. loc columns = 0
{txt}
{com}. 
. foreach choice in `experiments' `experiments'  {c -(}
{txt}  2{com}. 
.     loc ++columns
{txt}  3{com}.     qui eststo col`columns': reg x y
{txt}  4{com}. 
. {c )-}
{txt}
{com}. 
. restore
{txt}
{com}. 
. 
. /* Statistics */
. 
. loc colnum = 1
{txt}
{com}. loc colnames ""
{txt}
{com}. 
. 
. foreach choice in `experiments' {c -(}
{txt}  2{com}. 
. /* Statistics */
. 
. 
. 
.  
.  
. ********************************Panel A*****************************************
.         
.  xi: logit `choice' 1.treat_any  , vce(r) // 
{txt}  3{com}.    
.    
.    
.     sigstar 1.treat_any   , prec(3)
{txt}  4{com}.     estadd loc thisstat3 = "`r(bstar)'": col`colnum'
{txt}  5{com}.     estadd loc thisstat4 = "`r(sestar)'": col`colnum'
{txt}  6{com}.    
. margin 1.treat_any  , post
{txt}  7{com}. local t= e(b)[1,1]
{txt}  8{com}. estadd loc thisstat6 = string(`t', "%9.3f"): col`colnum'
{txt}  9{com}. 
. 
.         
.     loc ++colnum
{txt} 10{com}.     loc colnames "`colnames' `"`: var la `choice''"'"
{txt} 11{com}.         
.         
.  xi: logit `choice' 1.treat_any $control , vce(r) // 
{txt} 12{com}.    
.   
.   
.     sigstar 1.treat_any   , prec(3)
{txt} 13{com}.     estadd loc thisstat3 = "`r(bstar)'": col`colnum'
{txt} 14{com}.     estadd loc thisstat4 = "`r(sestar)'": col`colnum'
{txt} 15{com}.    
.     margin 1.treat_any  , post
{txt} 16{com}. local t= e(b)[1,1]
{txt} 17{com}. estadd loc thisstat6 = string(`t', "%9.3f"): col`colnum'
{txt} 18{com}. 
. 
.         
.     loc ++colnum
{txt} 19{com}.     loc colnames "`colnames' `"`: var la `choice''"'"   
{txt} 20{com}.         
. 
.         {c )-}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-102.05387}  
Iteration 1:{space 3}log pseudolikelihood = {res:-97.638965}  
Iteration 2:{space 3}log pseudolikelihood = {res:-96.822895}  
Iteration 3:{space 3}log pseudolikelihood = {res:-96.802566}  
Iteration 4:{space 3}log pseudolikelihood = {res:-96.802541}  
Iteration 5:{space 3}log pseudolikelihood = {res:-96.802541}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,007
{txt}{col 49}Wald chi2({res}1{txt}){col 67}= {res}      5.13
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0235
{txt}Log pseudolikelihood = {res}-96.802541{txt}{col 49}Pseudo R2{col 67}= {res}    0.0515

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treat_any {c |}
{space 2}Treatment  {c |}{col 14}{res}{space 2} 2.326829{col 26}{space 2} 1.027412{col 37}{space 1}    2.26{col 46}{space 3}0.024{col 54}{space 4} .3131376{col 67}{space 3}  4.34052
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-5.811141{col 26}{space 2} 1.001994{col 37}{space 1}   -5.80{col 46}{space 3}0.000{col 54}{space 4}-7.775012{col 67}{space 3} -3.84727
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[any_doors]1.treat_any = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 2.326829{col 26}{space 2} 1.027412{col 37}{space 1}    2.26{col 46}{space 3}0.024{col 54}{space 4} .3131376{col 67}{space 3}  4.34052
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     1,007
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(any_doors), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treat_any {c |}
{space 2}Treatment  {c |}{col 14}{res}{space 2} .0297619{col 26}{space 2} .0065584{col 37}{space 1}    4.54{col 46}{space 3}0.000{col 54}{space 4} .0169076{col 67}{space 3} .0426162
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}note: pre_others != 0 predicts failure perfectly
      pre_others dropped and 131 obs not used

note: member_years omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-99.093969}  
Iteration 1:{space 3}log pseudolikelihood = {res: -85.57775}  
Iteration 2:{space 3}log pseudolikelihood = {res: -72.63334}  
Iteration 3:{space 3}log pseudolikelihood = {res:-71.609601}  
Iteration 4:{space 3}log pseudolikelihood = {res: -71.53884}  
Iteration 5:{space 3}log pseudolikelihood = {res:-71.522236}  
Iteration 6:{space 3}log pseudolikelihood = {res:-71.518717}  
Iteration 7:{space 3}log pseudolikelihood = {res:-71.517984}  
Iteration 8:{space 3}log pseudolikelihood = {res:-71.517819}  
Iteration 9:{space 3}log pseudolikelihood = {res:-71.517777}  
Iteration 10:{space 2}log pseudolikelihood = {res:-71.517769}  
Iteration 11:{space 2}log pseudolikelihood = {res:-71.517768}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       876
{txt}{col 49}Wald chi2({res}16{txt}){col 67}= {res}   1067.72
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-71.517768{txt}{col 49}Pseudo R2{col 67}= {res}    0.2783

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}            any_doors{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}treat_any {c |}
{space 11}Treatment  {c |}{col 23}{res}{space 2} 2.325173{col 35}{space 2} 1.098213{col 46}{space 1}    2.12{col 55}{space 3}0.034{col 63}{space 4} .1727145{col 76}{space 3} 4.477631
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .4978418{col 35}{space 2} .2999374{col 46}{space 1}    1.66{col 55}{space 3}0.097{col 63}{space 4}-.0900248{col 76}{space 3} 1.085708
{txt}{space 15}female {c |}{col 23}{res}{space 2} 1.648189{col 35}{space 2} .4705075{col 46}{space 1}    3.50{col 55}{space 3}0.000{col 63}{space 4} .7260109{col 76}{space 3} 2.570366
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.1006874{col 35}{space 2} .0395911{col 46}{space 1}   -2.54{col 55}{space 3}0.011{col 63}{space 4}-.1782846{col 76}{space 3}-.0230902
{txt}{space 9}member_years {c |}{col 23}{res}{space 2} .0300154{col 35}{space 2} .0501701{col 46}{space 1}    0.60{col 55}{space 3}0.550{col 63}{space 4}-.0683162{col 76}{space 3}  .128347
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-13.59064{col 35}{space 2} 1.101943{col 46}{space 1}  -12.33{col 55}{space 3}0.000{col 63}{space 4}-15.75041{col 76}{space 3}-11.43088
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2}-.2914377{col 35}{space 2} .2931737{col 46}{space 1}   -0.99{col 55}{space 3}0.320{col 63}{space 4}-.8660476{col 76}{space 3} .2831723
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2} .1795413{col 35}{space 2} .1989135{col 46}{space 1}    0.90{col 55}{space 3}0.367{col 63}{space 4} -.210322{col 76}{space 3} .5694046
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.2260644{col 35}{space 2}    .2289{col 46}{space 1}   -0.99{col 55}{space 3}0.323{col 63}{space 4}-.6747002{col 76}{space 3} .2225714
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} .0948432{col 35}{space 2}  .785831{col 46}{space 1}    0.12{col 55}{space 3}0.904{col 63}{space 4}-1.445357{col 76}{space 3} 1.635044
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0199507{col 35}{space 2} .0151474{col 46}{space 1}   -1.32{col 55}{space 3}0.188{col 63}{space 4}-.0496391{col 76}{space 3} .0097377
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2}-.1939353{col 35}{space 2} .7488789{col 46}{space 1}   -0.26{col 55}{space 3}0.796{col 63}{space 4}-1.661711{col 76}{space 3}  1.27384
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2} 15.55489{col 35}{space 2}  .777964{col 46}{space 1}   19.99{col 55}{space 3}0.000{col 63}{space 4} 14.03011{col 76}{space 3} 17.07967
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2}-.3620259{col 35}{space 2} .6983858{col 46}{space 1}   -0.52{col 55}{space 3}0.604{col 63}{space 4}-1.730837{col 76}{space 3} 1.006785
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .2261226{col 35}{space 2} .4838059{col 46}{space 1}    0.47{col 55}{space 3}0.640{col 63}{space 4}-.7221195{col 76}{space 3} 1.174365
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .4451349{col 35}{space 2} .8505912{col 46}{space 1}    0.52{col 55}{space 3}0.601{col 63}{space 4}-1.221993{col 76}{space 3} 2.112263
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
{space 16}_cons {c |}{col 23}{res}{space 2}-4.299374{col 35}{space 2} 1.632073{col 46}{space 1}   -2.63{col 55}{space 3}0.008{col 63}{space 4}-7.498178{col 76}{space 3}-1.100569
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 56 failures and 0 successes completely determined.{p_end}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[any_doors]1.treat_any = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 2.325173{col 26}{space 2} 1.098213{col 37}{space 1}    2.12{col 46}{space 3}0.034{col 54}{space 4} .1727145{col 67}{space 3} 4.477631
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       876
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(any_doors), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treat_any {c |}
{space 2}Treatment  {c |}{col 14}{res}{space 2} .0330201{col 26}{space 2} .0069401{col 37}{space 1}    4.76{col 46}{space 3}0.000{col 54}{space 4} .0194177{col 67}{space 3} .0466224
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         /* Statistics */
. 
. loc colnum = 1
{txt}
{com}. loc colnames ""
{txt}
{com}. 
. 
. foreach choice in `experiments' {c -(}
{txt}  2{com}. 
. /* Statistics */
. 
. 
. 
.  
. ********************************Panel B*****************************************
.         
. logit `choice'   1.voice_instrumental_pooled  1.voice_intrinsic_pooled , vce(r) // 
{txt}  3{com}. 
. margin 1.voice_instrumental_pooled  ,post
{txt}  4{com}. local t= e(b)[1,1]
{txt}  5{com}. estadd loc thisstat15 = string(`t', "%9.3f"): col`colnum'
{txt}  6{com}. 
.  logit  `choice'  1.voice_instrumental_pooled  1.voice_intrinsic_pooled  , vce(r) // 
{txt}  7{com}. 
.    
.     sigstar  1.voice_instrumental_pooled   , prec(3)
{txt}  8{com}.     estadd loc thisstat9 = "`r(bstar)'": col`colnum'
{txt}  9{com}.     estadd loc thisstat10 = "`r(sestar)'": col`colnum'
{txt} 10{com}.    
.         sigstar 1.voice_intrinsic_pooled  , prec(3)
{txt} 11{com}.     estadd loc thisstat12 = "`r(bstar)'": col`colnum'
{txt} 12{com}.     estadd loc thisstat13 = "`r(sestar)'": col`colnum'
{txt} 13{com}.         
.            
.                 test    1.voice_instrumental_pooled = 1.voice_intrinsic_pooled  
{txt} 14{com}.     estadd loc thisstat17 = string(`r(p)', "%9.2f"): col`colnum'
{txt} 15{com}. 
.        margin 1.voice_intrinsic_pooled   ,post
{txt} 16{com}. local t= e(b)[1,1]
{txt} 17{com}. estadd loc thisstat16 = string(`t', "%9.3f"): col`colnum'       
{txt} 18{com}.         
.    
.    
.         
.         
.     loc ++colnum
{txt} 19{com}.     loc colnames "`colnames' `"`: var la `choice''"'"
{txt} 20{com}.         
.    
. logit  `choice'  1.voice_instrumental_pooled  1.voice_intrinsic_pooled  $control , vce(r) // 
{txt} 21{com}. margin 1.voice_instrumental_pooled  ,post
{txt} 22{com}. local t= e(b)[1,1]
{txt} 23{com}. estadd loc thisstat15 = string(`t', "%9.3f"): col`colnum'
{txt} 24{com}. 
.  logit  `choice'  1.voice_instrumental_pooled  1.voice_intrinsic_pooled  $control , vce(r) // 
{txt} 25{com}. 
.    
.     sigstar  1.voice_instrumental_pooled   , prec(3)
{txt} 26{com}.     estadd loc thisstat9 = "`r(bstar)'": col`colnum'
{txt} 27{com}.     estadd loc thisstat10 = "`r(sestar)'": col`colnum'
{txt} 28{com}.    
.         sigstar 1.voice_intrinsic_pooled  , prec(3)
{txt} 29{com}.     estadd loc thisstat12 = "`r(bstar)'": col`colnum'
{txt} 30{com}.     estadd loc thisstat13 = "`r(sestar)'": col`colnum'
{txt} 31{com}.         
.            
.                 test    1.voice_instrumental_pooled = 1.voice_intrinsic_pooled  
{txt} 32{com}.     estadd loc thisstat17 = string(`r(p)', "%9.2f"): col`colnum'
{txt} 33{com}. 
.        margin 1.voice_intrinsic_pooled   ,post
{txt} 34{com}. local t= e(b)[1,1]
{txt} 35{com}. estadd loc thisstat16 = string(`t', "%9.3f"): col`colnum'       
{txt} 36{com}. 
. {c )-}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-102.05387}  
Iteration 1:{space 3}log pseudolikelihood = {res:-97.608798}  
Iteration 2:{space 3}log pseudolikelihood = {res:-96.733272}  
Iteration 3:{space 3}log pseudolikelihood = {res:-96.711239}  
Iteration 4:{space 3}log pseudolikelihood = {res:-96.711211}  
Iteration 5:{space 3}log pseudolikelihood = {res:-96.711211}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,007
{txt}{col 49}Wald chi2({res}2{txt}){col 67}= {res}      5.33
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0696
{txt}Log pseudolikelihood = {res}-96.711211{txt}{col 49}Pseudo R2{col 67}= {res}    0.0524

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                  any_doors{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.voice_instrumental_pooled {c |}{col 29}{res}{space 2} 2.419076{col 41}{space 2}  1.04788{col 52}{space 1}    2.31{col 61}{space 3}0.021{col 69}{space 4} .3652698{col 82}{space 3} 4.472882
{txt}{space 3}1.voice_intrinsic_pooled {c |}{col 29}{res}{space 2}  2.22454{col 41}{space 2} 1.057494{col 52}{space 1}    2.10{col 61}{space 3}0.035{col 69}{space 4} .1518912{col 82}{space 3}  4.29719
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-5.811141{col 41}{space 2} 1.001994{col 52}{space 1}   -5.80{col 61}{space 3}0.000{col 69}{space 4}-7.775012{col 82}{space 3} -3.84727
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,007
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(any_doors), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41} Delta-method
{col 29}{c |}     Margin{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.voice_instrumental_pooled {c |}{col 29}{res}{space 2} .1004583{col 41}{space 2} .0681776{col 52}{space 1}    1.47{col 61}{space 3}0.141{col 69}{space 4}-.0331674{col 82}{space 3} .2340839
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-102.05387}  
Iteration 1:{space 3}log pseudolikelihood = {res:-97.608798}  
Iteration 2:{space 3}log pseudolikelihood = {res:-96.733272}  
Iteration 3:{space 3}log pseudolikelihood = {res:-96.711239}  
Iteration 4:{space 3}log pseudolikelihood = {res:-96.711211}  
Iteration 5:{space 3}log pseudolikelihood = {res:-96.711211}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,007
{txt}{col 49}Wald chi2({res}2{txt}){col 67}= {res}      5.33
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0696
{txt}Log pseudolikelihood = {res}-96.711211{txt}{col 49}Pseudo R2{col 67}= {res}    0.0524

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                  any_doors{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.voice_instrumental_pooled {c |}{col 29}{res}{space 2} 2.419076{col 41}{space 2}  1.04788{col 52}{space 1}    2.31{col 61}{space 3}0.021{col 69}{space 4} .3652698{col 82}{space 3} 4.472882
{txt}{space 3}1.voice_intrinsic_pooled {c |}{col 29}{res}{space 2}  2.22454{col 41}{space 2} 1.057494{col 52}{space 1}    2.10{col 61}{space 3}0.035{col 69}{space 4} .1518912{col 82}{space 3}  4.29719
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-5.811141{col 41}{space 2} 1.001994{col 52}{space 1}   -5.80{col 61}{space 3}0.000{col 69}{space 4}-7.775012{col 82}{space 3} -3.84727
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[any_doors]1.voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 2.419076{col 26}{space 2}  1.04788{col 37}{space 1}    2.31{col 46}{space 3}0.021{col 54}{space 4} .3652698{col 67}{space 3} 4.472882
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[any_doors]1.voice_intrinsic_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  2.22454{col 26}{space 2} 1.057494{col 37}{space 1}    2.10{col 46}{space 3}0.035{col 54}{space 4} .1518912{col 67}{space 3}  4.29719
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[any_doors]1.voice_instrumental_pooled - [any_doors]1.voice_intrinsic_pooled = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.18
{txt}{col 10}Prob > chi2 =  {res}  0.6700

{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,007
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(any_doors), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38} Delta-method
{col 26}{c |}     Margin{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.voice_intrinsic_pooled {c |}{col 26}{res}{space 2} .0975524{col 38}{space 2} .0689258{col 49}{space 1}    1.42{col 58}{space 3}0.157{col 66}{space 4}-.0375398{col 79}{space 3} .2326446
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}note: pre_others != 0 predicts failure perfectly
      pre_others dropped and 131 obs not used

note: member_years omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-99.093969}  
Iteration 1:{space 3}log pseudolikelihood = {res:-85.723327}  
Iteration 2:{space 3}log pseudolikelihood = {res:  -72.3056}  
Iteration 3:{space 3}log pseudolikelihood = {res:-71.254492}  
Iteration 4:{space 3}log pseudolikelihood = {res:-71.184194}  
Iteration 5:{space 3}log pseudolikelihood = {res:-71.167852}  
Iteration 6:{space 3}log pseudolikelihood = {res:-71.164324}  
Iteration 7:{space 3}log pseudolikelihood = {res:-71.163595}  
Iteration 8:{space 3}log pseudolikelihood = {res:-71.163432}  
Iteration 9:{space 3}log pseudolikelihood = {res:-71.163391}  
Iteration 10:{space 2}log pseudolikelihood = {res:-71.163383}  
Iteration 11:{space 2}log pseudolikelihood = {res:-71.163381}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       876
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}   1280.33
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-71.163381{txt}{col 49}Pseudo R2{col 67}= {res}    0.2819

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                  any_doors{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.voice_instrumental_pooled {c |}{col 29}{res}{space 2} 2.536873{col 41}{space 2} 1.124083{col 52}{space 1}    2.26{col 61}{space 3}0.024{col 69}{space 4} .3337113{col 82}{space 3} 4.740035
{txt}{space 3}1.voice_intrinsic_pooled {c |}{col 29}{res}{space 2} 2.120622{col 41}{space 2} 1.125992{col 52}{space 1}    1.88{col 61}{space 3}0.060{col 69}{space 4}-.0862823{col 82}{space 3} 4.327526
{txt}{space 14}z_voice_prior {c |}{col 29}{res}{space 2} .4979695{col 41}{space 2}  .295679{col 52}{space 1}    1.68{col 61}{space 3}0.092{col 69}{space 4}-.0815507{col 82}{space 3}  1.07749
{txt}{space 21}female {c |}{col 29}{res}{space 2} 1.645085{col 41}{space 2} .4766298{col 52}{space 1}    3.45{col 61}{space 3}0.001{col 69}{space 4} .7109082{col 82}{space 3} 2.579263
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.1013924{col 41}{space 2} .0388067{col 52}{space 1}   -2.61{col 61}{space 3}0.009{col 69}{space 4}-.1774521{col 82}{space 3}-.0253328
{txt}{space 15}member_years {c |}{col 29}{res}{space 2} .0286409{col 41}{space 2} .0502629{col 52}{space 1}    0.57{col 61}{space 3}0.569{col 69}{space 4}-.0698726{col 82}{space 3} .1271544
{txt}{space 15}member_years {c |}{col 29}{res}{space 2}        0{col 41}{txt}  (omitted)
{space 6}d_experience_campaign {c |}{col 29}{res}{space 2}-13.30922{col 41}{space 2} 1.106368{col 52}{space 1}  -12.03{col 61}{space 3}0.000{col 69}{space 4}-15.47766{col 82}{space 3}-11.14078
{txt}{space 16}z_votes_own {c |}{col 29}{res}{space 2}-.2768737{col 41}{space 2} .2962115{col 52}{space 1}   -0.93{col 61}{space 3}0.350{col 69}{space 4}-.8574376{col 82}{space 3} .3036902
{txt}{space 12}z_votes_other_1 {c |}{col 29}{res}{space 2} .1665552{col 41}{space 2} .2172875{col 52}{space 1}    0.77{col 61}{space 3}0.443{col 69}{space 4}-.2593204{col 82}{space 3} .5924309
{txt}{space 12}z_votes_other_2 {c |}{col 29}{res}{space 2}-.2137287{col 41}{space 2} .2404252{col 52}{space 1}   -0.89{col 61}{space 3}0.374{col 69}{space 4}-.6849533{col 82}{space 3}  .257496
{txt}{space 13}pre_doortodoor {c |}{col 29}{res}{space 2} .0949036{col 41}{space 2} .7854778{col 52}{space 1}    0.12{col 61}{space 3}0.904{col 69}{space 4}-1.444605{col 82}{space 3} 1.634412
{txt}{space 8}pre_days_doortodoor {c |}{col 29}{res}{space 2} -.020067{col 41}{space 2} .0156432{col 52}{space 1}   -1.28{col 61}{space 3}0.200{col 69}{space 4} -.050727{col 82}{space 3}  .010593
{txt}{space 16}pre_posters {c |}{col 29}{res}{space 2}-.2258344{col 41}{space 2} .7404795{col 52}{space 1}   -0.30{col 61}{space 3}0.760{col 69}{space 4}-1.677148{col 82}{space 3} 1.225479
{txt}{space 18}pre_booth {c |}{col 29}{res}{space 2} 15.26029{col 41}{space 2} .7338878{col 52}{space 1}   20.79{col 61}{space 3}0.000{col 69}{space 4}  13.8219{col 82}{space 3} 16.69869
{txt}{space 17}pre_online {c |}{col 29}{res}{space 2}-.3935961{col 41}{space 2} .6871157{col 52}{space 1}   -0.57{col 61}{space 3}0.567{col 69}{space 4}-1.740318{col 82}{space 3}  .953126
{txt}{space 19}pre_call {c |}{col 29}{res}{space 2} .2494546{col 41}{space 2} .4940866{col 52}{space 1}    0.50{col 61}{space 3}0.614{col 69}{space 4}-.7189374{col 82}{space 3} 1.217847
{txt}{space 16}pre_friends {c |}{col 29}{res}{space 2} .5089898{col 41}{space 2} .8465096{col 52}{space 1}    0.60{col 61}{space 3}0.548{col 69}{space 4}-1.150139{col 82}{space 3} 2.168118
{txt}{space 17}pre_others {c |}{col 29}{res}{space 2}        0{col 41}{txt}  (omitted)
{space 22}_cons {c |}{col 29}{res}{space 2}-4.258575{col 41}{space 2} 1.621413{col 52}{space 1}   -2.63{col 61}{space 3}0.009{col 69}{space 4}-7.436485{col 82}{space 3}-1.080665
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 55 failures and 0 successes completely determined.{p_end}
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       876
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(any_doors), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41} Delta-method
{col 29}{c |}     Margin{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.voice_instrumental_pooled {c |}{col 29}{res}{space 2} .0896448{col 41}{space 2} .0441189{col 52}{space 1}    2.03{col 61}{space 3}0.042{col 69}{space 4} .0031734{col 82}{space 3} .1761163
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}note: pre_others != 0 predicts failure perfectly
      pre_others dropped and 131 obs not used

note: member_years omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-99.093969}  
Iteration 1:{space 3}log pseudolikelihood = {res:-85.723327}  
Iteration 2:{space 3}log pseudolikelihood = {res:  -72.3056}  
Iteration 3:{space 3}log pseudolikelihood = {res:-71.254492}  
Iteration 4:{space 3}log pseudolikelihood = {res:-71.184194}  
Iteration 5:{space 3}log pseudolikelihood = {res:-71.167852}  
Iteration 6:{space 3}log pseudolikelihood = {res:-71.164324}  
Iteration 7:{space 3}log pseudolikelihood = {res:-71.163595}  
Iteration 8:{space 3}log pseudolikelihood = {res:-71.163432}  
Iteration 9:{space 3}log pseudolikelihood = {res:-71.163391}  
Iteration 10:{space 2}log pseudolikelihood = {res:-71.163383}  
Iteration 11:{space 2}log pseudolikelihood = {res:-71.163381}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       876
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}   1280.33
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-71.163381{txt}{col 49}Pseudo R2{col 67}= {res}    0.2819

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                  any_doors{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.voice_instrumental_pooled {c |}{col 29}{res}{space 2} 2.536873{col 41}{space 2} 1.124083{col 52}{space 1}    2.26{col 61}{space 3}0.024{col 69}{space 4} .3337113{col 82}{space 3} 4.740035
{txt}{space 3}1.voice_intrinsic_pooled {c |}{col 29}{res}{space 2} 2.120622{col 41}{space 2} 1.125992{col 52}{space 1}    1.88{col 61}{space 3}0.060{col 69}{space 4}-.0862823{col 82}{space 3} 4.327526
{txt}{space 14}z_voice_prior {c |}{col 29}{res}{space 2} .4979695{col 41}{space 2}  .295679{col 52}{space 1}    1.68{col 61}{space 3}0.092{col 69}{space 4}-.0815507{col 82}{space 3}  1.07749
{txt}{space 21}female {c |}{col 29}{res}{space 2} 1.645085{col 41}{space 2} .4766298{col 52}{space 1}    3.45{col 61}{space 3}0.001{col 69}{space 4} .7109082{col 82}{space 3} 2.579263
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.1013924{col 41}{space 2} .0388067{col 52}{space 1}   -2.61{col 61}{space 3}0.009{col 69}{space 4}-.1774521{col 82}{space 3}-.0253328
{txt}{space 15}member_years {c |}{col 29}{res}{space 2} .0286409{col 41}{space 2} .0502629{col 52}{space 1}    0.57{col 61}{space 3}0.569{col 69}{space 4}-.0698726{col 82}{space 3} .1271544
{txt}{space 15}member_years {c |}{col 29}{res}{space 2}        0{col 41}{txt}  (omitted)
{space 6}d_experience_campaign {c |}{col 29}{res}{space 2}-13.30922{col 41}{space 2} 1.106368{col 52}{space 1}  -12.03{col 61}{space 3}0.000{col 69}{space 4}-15.47766{col 82}{space 3}-11.14078
{txt}{space 16}z_votes_own {c |}{col 29}{res}{space 2}-.2768737{col 41}{space 2} .2962115{col 52}{space 1}   -0.93{col 61}{space 3}0.350{col 69}{space 4}-.8574376{col 82}{space 3} .3036902
{txt}{space 12}z_votes_other_1 {c |}{col 29}{res}{space 2} .1665552{col 41}{space 2} .2172875{col 52}{space 1}    0.77{col 61}{space 3}0.443{col 69}{space 4}-.2593204{col 82}{space 3} .5924309
{txt}{space 12}z_votes_other_2 {c |}{col 29}{res}{space 2}-.2137287{col 41}{space 2} .2404252{col 52}{space 1}   -0.89{col 61}{space 3}0.374{col 69}{space 4}-.6849533{col 82}{space 3}  .257496
{txt}{space 13}pre_doortodoor {c |}{col 29}{res}{space 2} .0949036{col 41}{space 2} .7854778{col 52}{space 1}    0.12{col 61}{space 3}0.904{col 69}{space 4}-1.444605{col 82}{space 3} 1.634412
{txt}{space 8}pre_days_doortodoor {c |}{col 29}{res}{space 2} -.020067{col 41}{space 2} .0156432{col 52}{space 1}   -1.28{col 61}{space 3}0.200{col 69}{space 4} -.050727{col 82}{space 3}  .010593
{txt}{space 16}pre_posters {c |}{col 29}{res}{space 2}-.2258344{col 41}{space 2} .7404795{col 52}{space 1}   -0.30{col 61}{space 3}0.760{col 69}{space 4}-1.677148{col 82}{space 3} 1.225479
{txt}{space 18}pre_booth {c |}{col 29}{res}{space 2} 15.26029{col 41}{space 2} .7338878{col 52}{space 1}   20.79{col 61}{space 3}0.000{col 69}{space 4}  13.8219{col 82}{space 3} 16.69869
{txt}{space 17}pre_online {c |}{col 29}{res}{space 2}-.3935961{col 41}{space 2} .6871157{col 52}{space 1}   -0.57{col 61}{space 3}0.567{col 69}{space 4}-1.740318{col 82}{space 3}  .953126
{txt}{space 19}pre_call {c |}{col 29}{res}{space 2} .2494546{col 41}{space 2} .4940866{col 52}{space 1}    0.50{col 61}{space 3}0.614{col 69}{space 4}-.7189374{col 82}{space 3} 1.217847
{txt}{space 16}pre_friends {c |}{col 29}{res}{space 2} .5089898{col 41}{space 2} .8465096{col 52}{space 1}    0.60{col 61}{space 3}0.548{col 69}{space 4}-1.150139{col 82}{space 3} 2.168118
{txt}{space 17}pre_others {c |}{col 29}{res}{space 2}        0{col 41}{txt}  (omitted)
{space 22}_cons {c |}{col 29}{res}{space 2}-4.258575{col 41}{space 2} 1.621413{col 52}{space 1}   -2.63{col 61}{space 3}0.009{col 69}{space 4}-7.436485{col 82}{space 3}-1.080665
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 55 failures and 0 successes completely determined.{p_end}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[any_doors]1.voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 2.536873{col 26}{space 2} 1.124083{col 37}{space 1}    2.26{col 46}{space 3}0.024{col 54}{space 4} .3337113{col 67}{space 3} 4.740035
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[any_doors]1.voice_intrinsic_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 2.120622{col 26}{space 2} 1.125992{col 37}{space 1}    1.88{col 46}{space 3}0.060{col 54}{space 4}-.0862823{col 67}{space 3} 4.327526
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[any_doors]1.voice_instrumental_pooled - [any_doors]1.voice_intrinsic_pooled = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.79
{txt}{col 10}Prob > chi2 =  {res}  0.3748

{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       876
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(any_doors), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38} Delta-method
{col 26}{c |}     Margin{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.voice_intrinsic_pooled {c |}{col 26}{res}{space 2} .0753056{col 38}{space 2} .0402111{col 49}{space 1}    1.87{col 58}{space 3}0.061{col 66}{space 4}-.0035067{col 79}{space 3} .1541179
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
.         
. loc colnum = 1
{txt}
{com}. loc colnames ""
{txt}
{com}. 
.         
. foreach choice in `experiments' {c -(}
{txt}  2{com}.         
. ********************************Panel C*****************************************
.         
. logit `choice'   1.feedback_pooled  1.no_feedback_pooled , vce(r) // 
{txt}  3{com}. 
. margin 1.feedback_pooled  ,post
{txt}  4{com}. local t= e(b)[1,1]
{txt}  5{com}. estadd loc thisstat26 = string(`t', "%9.3f"): col`colnum'
{txt}  6{com}. 
.  logit  `choice'  1.feedback_pooled  1.no_feedback_pooled  , vce(r) // 
{txt}  7{com}. 
.    
.     sigstar  1.feedback_pooled  , prec(3)
{txt}  8{com}.     estadd loc thisstat20 = "`r(bstar)'": col`colnum'
{txt}  9{com}.     estadd loc thisstat21 = "`r(sestar)'": col`colnum'
{txt} 10{com}.    
.         sigstar 1.no_feedback_pooled , prec(3)
{txt} 11{com}.     estadd loc thisstat23 = "`r(bstar)'": col`colnum'
{txt} 12{com}.     estadd loc thisstat24 = "`r(sestar)'": col`colnum'
{txt} 13{com}.         
.            
.                 test    1.feedback_pooled = 1.no_feedback_pooled
{txt} 14{com}.     estadd loc thisstat28 = string(`r(p)', "%9.2f"): col`colnum'
{txt} 15{com}. 
.        margin 1.no_feedback_pooled  ,post
{txt} 16{com}. local t= e(b)[1,1]
{txt} 17{com}. estadd loc thisstat27 = string(`t', "%9.3f"): col`colnum'       
{txt} 18{com}.         
.    
.    
. 
.         
.         qui sum `choice' if control==1
{txt} 19{com}.         estadd loc thisstat29 = string(`r(mean)', "%9.2f"): col`colnum'
{txt} 20{com}.         
.         qui sum `choice' 
{txt} 21{com}.     estadd loc thisstat30 = string(`r(N)', "%9.0f"): col`colnum'
{txt} 22{com}.         
.         
.     loc ++colnum
{txt} 23{com}.     loc colnames "`colnames' `"`: var la `choice''"'"
{txt} 24{com}.         
.    
. logit  `choice'  1.feedback_pooled  1.no_feedback_pooled  $control , vce(r) // 
{txt} 25{com}. margin 1.feedback_pooled  ,post
{txt} 26{com}. local t= e(b)[1,1]
{txt} 27{com}. estadd loc thisstat26 = string(`t', "%9.3f"): col`colnum'
{txt} 28{com}. 
.  logit  `choice'  1.feedback_pooled  1.no_feedback_pooled $control , vce(r) // 
{txt} 29{com}. 
.    
.     sigstar  1.feedback_pooled  , prec(3)
{txt} 30{com}.     estadd loc thisstat20 = "`r(bstar)'": col`colnum'
{txt} 31{com}.     estadd loc thisstat21 = "`r(sestar)'": col`colnum'
{txt} 32{com}.    
.         sigstar 1.no_feedback_pooled , prec(3)
{txt} 33{com}.     estadd loc thisstat23 = "`r(bstar)'": col`colnum'
{txt} 34{com}.     estadd loc thisstat24 = "`r(sestar)'": col`colnum'
{txt} 35{com}.         
.            
.                 test    1.feedback_pooled = 1.no_feedback_pooled
{txt} 36{com}.     estadd loc thisstat28 = string(`r(p)', "%9.2f"): col`colnum'
{txt} 37{com}. 
.        margin 1.no_feedback_pooled  ,post
{txt} 38{com}. local t= e(b)[1,1]
{txt} 39{com}. estadd loc thisstat27 = string(`t', "%9.3f"): col`colnum'       
{txt} 40{com}.         
.    
.    
. 
.         
.         qui sum `choice' if control==1
{txt} 41{com}.         estadd loc thisstat29 = string(`r(mean)', "%9.2f"): col`colnum'
{txt} 42{com}.         
.         qui sum `choice' 
{txt} 43{com}.     estadd loc thisstat30 = string(`r(N)', "%9.0f"): col`colnum'
{txt} 44{com}.         
.         
. 
.         
.         estadd loc thisstat31 = "X" : col`colnum'
{txt} 45{com}.         
.         
.     loc ++colnum
{txt} 46{com}.     loc colnames "`colnames' `"`: var la `choice''"'"   
{txt} 47{com}.         
. 
.         {c )-}

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-102.05387}  
Iteration 1:{space 3}log pseudolikelihood = {res:-97.637871}  
Iteration 2:{space 3}log pseudolikelihood = {res:-96.819673}  
Iteration 3:{space 3}log pseudolikelihood = {res:-96.799279}  
Iteration 4:{space 3}log pseudolikelihood = {res:-96.799254}  
Iteration 5:{space 3}log pseudolikelihood = {res:-96.799254}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,007
{txt}{col 49}Wald chi2({res}2{txt}){col 67}= {res}      5.14
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0767
{txt}Log pseudolikelihood = {res}-96.799254{txt}{col 49}Pseudo R2{col 67}= {res}    0.0515

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}           any_doors{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}1.feedback_pooled {c |}{col 22}{res}{space 2} 2.345405{col 34}{space 2} 1.052245{col 45}{space 1}    2.23{col 54}{space 3}0.026{col 62}{space 4} .2830437{col 75}{space 3} 4.407766
{txt}1.no_feedback_pooled {c |}{col 22}{res}{space 2} 2.308591{col 34}{space 2} 1.052191{col 45}{space 1}    2.19{col 54}{space 3}0.028{col 62}{space 4} .2463351{col 75}{space 3} 4.370847
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-5.811141{col 34}{space 2} 1.001994{col 45}{space 1}   -5.80{col 54}{space 3}0.000{col 62}{space 4}-7.775012{col 75}{space 3} -3.84727
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,007
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(any_doors), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31} Delta-method
{col 19}{c |}     Margin{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.feedback_pooled {c |}{col 19}{res}{space 2} .1012446{col 31}{space 2} .0700679{col 42}{space 1}    1.44{col 51}{space 3}0.148{col 59}{space 4} -.036086{col 72}{space 3} .2385752
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-102.05387}  
Iteration 1:{space 3}log pseudolikelihood = {res:-97.637871}  
Iteration 2:{space 3}log pseudolikelihood = {res:-96.819673}  
Iteration 3:{space 3}log pseudolikelihood = {res:-96.799279}  
Iteration 4:{space 3}log pseudolikelihood = {res:-96.799254}  
Iteration 5:{space 3}log pseudolikelihood = {res:-96.799254}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,007
{txt}{col 49}Wald chi2({res}2{txt}){col 67}= {res}      5.14
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0767
{txt}Log pseudolikelihood = {res}-96.799254{txt}{col 49}Pseudo R2{col 67}= {res}    0.0515

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}           any_doors{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}1.feedback_pooled {c |}{col 22}{res}{space 2} 2.345405{col 34}{space 2} 1.052245{col 45}{space 1}    2.23{col 54}{space 3}0.026{col 62}{space 4} .2830437{col 75}{space 3} 4.407766
{txt}1.no_feedback_pooled {c |}{col 22}{res}{space 2} 2.308591{col 34}{space 2} 1.052191{col 45}{space 1}    2.19{col 54}{space 3}0.028{col 62}{space 4} .2463351{col 75}{space 3} 4.370847
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-5.811141{col 34}{space 2} 1.001994{col 45}{space 1}   -5.80{col 54}{space 3}0.000{col 62}{space 4}-7.775012{col 75}{space 3} -3.84727
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[any_doors]1.feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 2.345405{col 26}{space 2} 1.052245{col 37}{space 1}    2.23{col 46}{space 3}0.026{col 54}{space 4} .2830437{col 67}{space 3} 4.407766
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[any_doors]1.no_feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 2.308591{col 26}{space 2} 1.052191{col 37}{space 1}    2.19{col 46}{space 3}0.028{col 54}{space 4} .2463351{col 67}{space 3} 4.370847
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[any_doors]1.feedback_pooled - [any_doors]1.no_feedback_pooled = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.01
{txt}{col 10}Prob > chi2 =  {res}  0.9354

{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,007
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(any_doors), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34} Delta-method
{col 22}{c |}     Margin{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.no_feedback_pooled {c |}{col 22}{res}{space 2} .0980406{col 34}{space 2} .0676502{col 45}{space 1}    1.45{col 54}{space 3}0.147{col 62}{space 4}-.0345514{col 75}{space 3} .2306325
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}note: pre_others != 0 predicts failure perfectly
      pre_others dropped and 131 obs not used

note: member_years omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-99.093969}  
Iteration 1:{space 3}log pseudolikelihood = {res:-85.601994}  
Iteration 2:{space 3}log pseudolikelihood = {res:-72.622244}  
Iteration 3:{space 3}log pseudolikelihood = {res:   -71.596}  
Iteration 4:{space 3}log pseudolikelihood = {res:-71.525202}  
Iteration 5:{space 3}log pseudolikelihood = {res:-71.508588}  
Iteration 6:{space 3}log pseudolikelihood = {res:-71.505066}  
Iteration 7:{space 3}log pseudolikelihood = {res:-71.504334}  
Iteration 8:{space 3}log pseudolikelihood = {res:-71.504168}  
Iteration 9:{space 3}log pseudolikelihood = {res:-71.504126}  
Iteration 10:{space 2}log pseudolikelihood = {res:-71.504118}  
Iteration 11:{space 2}log pseudolikelihood = {res:-71.504117}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       876
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}   1068.77
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-71.504117{txt}{col 49}Pseudo R2{col 67}= {res}    0.2784

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}            any_doors{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.feedback_pooled {c |}{col 23}{res}{space 2} 2.285174{col 35}{space 2} 1.132972{col 46}{space 1}    2.02{col 55}{space 3}0.044{col 63}{space 4}  .064589{col 76}{space 3} 4.505759
{txt}{space 1}1.no_feedback_pooled {c |}{col 23}{res}{space 2} 2.366956{col 35}{space 2} 1.108343{col 46}{space 1}    2.14{col 55}{space 3}0.033{col 63}{space 4} .1946447{col 76}{space 3} 4.539268
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .4972563{col 35}{space 2} .3005405{col 46}{space 1}    1.65{col 55}{space 3}0.098{col 63}{space 4}-.0917923{col 76}{space 3} 1.086305
{txt}{space 15}female {c |}{col 23}{res}{space 2} 1.648451{col 35}{space 2} .4712991{col 46}{space 1}    3.50{col 55}{space 3}0.000{col 63}{space 4} .7247221{col 76}{space 3} 2.572181
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.1009637{col 35}{space 2} .0396747{col 46}{space 1}   -2.54{col 55}{space 3}0.011{col 63}{space 4}-.1787247{col 76}{space 3}-.0232027
{txt}{space 9}member_years {c |}{col 23}{res}{space 2} .0304358{col 35}{space 2} .0500158{col 46}{space 1}    0.61{col 55}{space 3}0.543{col 63}{space 4}-.0675933{col 76}{space 3}  .128465
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-13.59164{col 35}{space 2} 1.099448{col 46}{space 1}  -12.36{col 55}{space 3}0.000{col 63}{space 4}-15.74652{col 76}{space 3}-11.43676
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2}-.2979875{col 35}{space 2} .3000865{col 46}{space 1}   -0.99{col 55}{space 3}0.321{col 63}{space 4}-.8861463{col 76}{space 3} .2901712
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2} .1803444{col 35}{space 2} .1985968{col 46}{space 1}    0.91{col 55}{space 3}0.364{col 63}{space 4}-.2088982{col 76}{space 3} .5695869
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.2286139{col 35}{space 2} .2307058{col 46}{space 1}   -0.99{col 55}{space 3}0.322{col 63}{space 4} -.680789{col 76}{space 3} .2235613
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2}  .094107{col 35}{space 2} .7844212{col 46}{space 1}    0.12{col 55}{space 3}0.905{col 63}{space 4} -1.44333{col 76}{space 3} 1.631544
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0197973{col 35}{space 2} .0148625{col 46}{space 1}   -1.33{col 55}{space 3}0.183{col 63}{space 4}-.0489272{col 76}{space 3} .0093326
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2}-.2048233{col 35}{space 2} .7277327{col 46}{space 1}   -0.28{col 55}{space 3}0.778{col 63}{space 4}-1.631153{col 76}{space 3} 1.221507
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2} 15.56184{col 35}{space 2} .7818116{col 46}{space 1}   19.90{col 55}{space 3}0.000{col 63}{space 4} 14.02952{col 76}{space 3} 17.09416
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2}-.3689175{col 35}{space 2} .6957922{col 46}{space 1}   -0.53{col 55}{space 3}0.596{col 63}{space 4}-1.732645{col 76}{space 3} .9948102
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .2252336{col 35}{space 2} .4852284{col 46}{space 1}    0.46{col 55}{space 3}0.643{col 63}{space 4}-.7257966{col 76}{space 3} 1.176264
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .4534532{col 35}{space 2}  .844545{col 46}{space 1}    0.54{col 55}{space 3}0.591{col 63}{space 4}-1.201825{col 76}{space 3} 2.108731
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
{space 16}_cons {c |}{col 23}{res}{space 2}-4.296686{col 35}{space 2} 1.636431{col 46}{space 1}   -2.63{col 55}{space 3}0.009{col 63}{space 4}-7.504031{col 76}{space 3} -1.08934
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 56 failures and 0 successes completely determined.{p_end}
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       876
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(any_doors), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31} Delta-method
{col 19}{c |}     Margin{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.feedback_pooled {c |}{col 19}{res}{space 2} .0804042{col 31}{space 2} .0410552{col 42}{space 1}    1.96{col 51}{space 3}0.050{col 59}{space 4}-.0000625{col 72}{space 3}  .160871
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}note: pre_others != 0 predicts failure perfectly
      pre_others dropped and 131 obs not used

note: member_years omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-99.093969}  
Iteration 1:{space 3}log pseudolikelihood = {res:-85.601994}  
Iteration 2:{space 3}log pseudolikelihood = {res:-72.622244}  
Iteration 3:{space 3}log pseudolikelihood = {res:   -71.596}  
Iteration 4:{space 3}log pseudolikelihood = {res:-71.525202}  
Iteration 5:{space 3}log pseudolikelihood = {res:-71.508588}  
Iteration 6:{space 3}log pseudolikelihood = {res:-71.505066}  
Iteration 7:{space 3}log pseudolikelihood = {res:-71.504334}  
Iteration 8:{space 3}log pseudolikelihood = {res:-71.504168}  
Iteration 9:{space 3}log pseudolikelihood = {res:-71.504126}  
Iteration 10:{space 2}log pseudolikelihood = {res:-71.504118}  
Iteration 11:{space 2}log pseudolikelihood = {res:-71.504117}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       876
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}   1068.77
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-71.504117{txt}{col 49}Pseudo R2{col 67}= {res}    0.2784

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}            any_doors{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.feedback_pooled {c |}{col 23}{res}{space 2} 2.285174{col 35}{space 2} 1.132972{col 46}{space 1}    2.02{col 55}{space 3}0.044{col 63}{space 4}  .064589{col 76}{space 3} 4.505759
{txt}{space 1}1.no_feedback_pooled {c |}{col 23}{res}{space 2} 2.366956{col 35}{space 2} 1.108343{col 46}{space 1}    2.14{col 55}{space 3}0.033{col 63}{space 4} .1946447{col 76}{space 3} 4.539268
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .4972563{col 35}{space 2} .3005405{col 46}{space 1}    1.65{col 55}{space 3}0.098{col 63}{space 4}-.0917923{col 76}{space 3} 1.086305
{txt}{space 15}female {c |}{col 23}{res}{space 2} 1.648451{col 35}{space 2} .4712991{col 46}{space 1}    3.50{col 55}{space 3}0.000{col 63}{space 4} .7247221{col 76}{space 3} 2.572181
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.1009637{col 35}{space 2} .0396747{col 46}{space 1}   -2.54{col 55}{space 3}0.011{col 63}{space 4}-.1787247{col 76}{space 3}-.0232027
{txt}{space 9}member_years {c |}{col 23}{res}{space 2} .0304358{col 35}{space 2} .0500158{col 46}{space 1}    0.61{col 55}{space 3}0.543{col 63}{space 4}-.0675933{col 76}{space 3}  .128465
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-13.59164{col 35}{space 2} 1.099448{col 46}{space 1}  -12.36{col 55}{space 3}0.000{col 63}{space 4}-15.74652{col 76}{space 3}-11.43676
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2}-.2979875{col 35}{space 2} .3000865{col 46}{space 1}   -0.99{col 55}{space 3}0.321{col 63}{space 4}-.8861463{col 76}{space 3} .2901712
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2} .1803444{col 35}{space 2} .1985968{col 46}{space 1}    0.91{col 55}{space 3}0.364{col 63}{space 4}-.2088982{col 76}{space 3} .5695869
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.2286139{col 35}{space 2} .2307058{col 46}{space 1}   -0.99{col 55}{space 3}0.322{col 63}{space 4} -.680789{col 76}{space 3} .2235613
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2}  .094107{col 35}{space 2} .7844212{col 46}{space 1}    0.12{col 55}{space 3}0.905{col 63}{space 4} -1.44333{col 76}{space 3} 1.631544
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0197973{col 35}{space 2} .0148625{col 46}{space 1}   -1.33{col 55}{space 3}0.183{col 63}{space 4}-.0489272{col 76}{space 3} .0093326
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2}-.2048233{col 35}{space 2} .7277327{col 46}{space 1}   -0.28{col 55}{space 3}0.778{col 63}{space 4}-1.631153{col 76}{space 3} 1.221507
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2} 15.56184{col 35}{space 2} .7818116{col 46}{space 1}   19.90{col 55}{space 3}0.000{col 63}{space 4} 14.02952{col 76}{space 3} 17.09416
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2}-.3689175{col 35}{space 2} .6957922{col 46}{space 1}   -0.53{col 55}{space 3}0.596{col 63}{space 4}-1.732645{col 76}{space 3} .9948102
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .2252336{col 35}{space 2} .4852284{col 46}{space 1}    0.46{col 55}{space 3}0.643{col 63}{space 4}-.7257966{col 76}{space 3} 1.176264
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .4534532{col 35}{space 2}  .844545{col 46}{space 1}    0.54{col 55}{space 3}0.591{col 63}{space 4}-1.201825{col 76}{space 3} 2.108731
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
{space 16}_cons {c |}{col 23}{res}{space 2}-4.296686{col 35}{space 2} 1.636431{col 46}{space 1}   -2.63{col 55}{space 3}0.009{col 63}{space 4}-7.504031{col 76}{space 3} -1.08934
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 56 failures and 0 successes completely determined.{p_end}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[any_doors]1.feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 2.285174{col 26}{space 2} 1.132972{col 37}{space 1}    2.02{col 46}{space 3}0.044{col 54}{space 4}  .064589{col 67}{space 3} 4.505759
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[any_doors]1.no_feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 2.366956{col 26}{space 2} 1.108343{col 37}{space 1}    2.14{col 46}{space 3}0.033{col 54}{space 4} .1946447{col 67}{space 3} 4.539268
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[any_doors]1.feedback_pooled - [any_doors]1.no_feedback_pooled = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.03
{txt}{col 10}Prob > chi2 =  {res}  0.8579

{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       876
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(any_doors), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34} Delta-method
{col 22}{c |}     Margin{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.no_feedback_pooled {c |}{col 22}{res}{space 2} .0845091{col 34}{space 2}  .042481{col 45}{space 1}    1.99{col 54}{space 3}0.047{col 62}{space 4} .0012478{col 75}{space 3} .1677703
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         
. 
. 
.         
.         
.         
.          
. loc rowlabels " "\textbf{c -(}Panel A: Main effects{c )-} " " " "Any voice treatment" " " " " "\hline Marginal  effect "  " \hline"  "  \textbf{c -(}Panel B: Type of voice{c )-} \\ "  " Instrumental" " " " " " Intrinsic" " " " " "\hline Marginal effect: Instrumental"  " Marginal effect: Intrinsic"    "\hline  p(Instrumental = Intrinsic)"  " \hline "  " \textbf{c -(}Panel C: Feedback announcement{c )-} \\"  "Feedback" " " " " " No feedback" " " " " "\hline Marginal effect: Instrumental"  " Marginal effect: Intrinsic"    "\hline  p(Feedback = No feedback)" "\hline Control mean" "Number of Observations" "Controls" "
{txt}
{com}. 
. loc rowstats ""
{txt}
{com}. 
. forval i = 1/31 {c -(}
{txt}  2{com}.     loc rowstats "`rowstats' thisstat`i'"
{txt}  3{com}. {c )-}
{txt}
{com}. 
. 
. 
. esttab col* using "$output/treat_logit.tex", replace cells(none) booktabs nonotes  compress alignment(c) nogap noobs nobaselevels label stats(`rowstats', labels(`rowlabels')) ///
>  nomtitle mgroups("Any canvassing (app data)" ,  pattern(1 0 0 0 1 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}))
{res}{txt}(output written to {browse  `"/Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/output/treat_logit.tex"'})

{com}. 
. 
. 
{txt}end of do-file

{com}. do "$scripts/tables/Table_A8_treat_doors_pooled_3panel_nocont.do"
{txt}
{com}. use "$data/clean/clean_main_complete.dta" , replace
{txt}
{com}. 
. 
. ********************************************************************************
. ********************************************************************************
. ********************************************************************************
. 
.  
.                    
. loc experiments " any_doors  doors_wins n_intendedact  z_score_fs"
{txt}
{com}. 
.                    
.                    
. preserve
{txt}
{com}. 
. clear all
{res}{txt}
{com}. eststo clear
{txt}
{com}. estimates drop _all
{txt}
{com}. 
. set obs 10
{txt}{p}
number of observations (_N)  was 0,
now 10
{p_end}

{com}. qui gen x = 1
{txt}
{com}. qui gen y = 1
{txt}
{com}. 
. loc columns = 0
{txt}
{com}. 
. foreach choice in `experiments'  {c -(}
{txt}  2{com}. 
.     loc ++columns
{txt}  3{com}.     qui eststo col`columns': reg x y
{txt}  4{com}. 
. {c )-}
{txt}
{com}. 
. restore
{txt}
{com}. 
. 
. /* Statistics */
. 
. loc colnum = 1
{txt}
{com}. loc colnames ""
{txt}
{com}. 
. 
. foreach choice in `experiments' {c -(}
{txt}  2{com}. 
. /* Statistics */
. 
.  
. ********************************Panel A*****************************************
.         
. 
.         
.  xi: reg `choice' treat_any  , vce(r) // 
{txt}  3{com}.    
.    
.    
.     sigstar treat_any   , prec(3)
{txt}  4{com}.     estadd loc thisstat3 = "`r(bstar)'": col`colnum'
{txt}  5{com}.     estadd loc thisstat4 = "`r(sestar)'": col`colnum'
{txt}  6{com}.    
. 
.         
.         
.     loc ++colnum
{txt}  7{com}.     loc colnames "`colnames' `"`: var la `choice''"'"   
{txt}  8{com}.         
. 
.         {c )-}

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(1, 1005)        =  {res}    13.80
                                                {txt}Prob > F          = {res}    0.0002
                                                {txt}R-squared         = {res}    0.0078
                                                {txt}Root MSE          =    {res} .14248

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treat_any {c |}{col 14}{res}{space 2} .0267768{col 26}{space 2} .0072082{col 37}{space 1}    3.71{col 46}{space 3}0.000{col 54}{space 4}  .012632{col 67}{space 3} .0409216
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0029851{col 26}{space 2} .0029836{col 37}{space 1}    1.00{col 46}{space 3}0.317{col 54}{space 4}-.0028697{col 67}{space 3} .0088398
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_any = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0267768{col 26}{space 2} .0072082{col 37}{space 1}    3.71{col 46}{space 3}0.000{col 54}{space 4}  .012632{col 67}{space 3} .0409216
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(1, 1005)        =  {res}    12.67
                                                {txt}Prob > F          = {res}    0.0004
                                                {txt}R-squared         = {res}    0.0066
                                                {txt}Root MSE          =    {res} 7.4619

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  doors_wins{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treat_any {c |}{col 14}{res}{space 2} 1.288406{col 26}{space 2} .3619549{col 37}{space 1}    3.56{col 46}{space 3}0.000{col 54}{space 4} .5781322{col 67}{space 3}  1.99868
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0955224{col 26}{space 2} .0954746{col 37}{space 1}    1.00{col 46}{space 3}0.317{col 54}{space 4}  -.09183{col 67}{space 3} .2828747
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_any = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  doors_wins{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.288406{col 26}{space 2} .3619549{col 37}{space 1}    3.56{col 46}{space 3}0.000{col 54}{space 4} .5781322{col 67}{space 3}  1.99868
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(1, 962)         =  {res}     7.48
                                                {txt}Prob > F          = {res}    0.0063
                                                {txt}R-squared         = {res}    0.0078
                                                {txt}Root MSE          =    {res} 1.7462

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}n_intended~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treat_any {c |}{col 14}{res}{space 2} .3265462{col 26}{space 2} .1193882{col 37}{space 1}    2.74{col 46}{space 3}0.006{col 54}{space 4} .0922548{col 67}{space 3} .5608376
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2.424242{col 26}{space 2} .0975719{col 37}{space 1}   24.85{col 46}{space 3}0.000{col 54}{space 4} 2.232764{col 67}{space 3} 2.615721
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_any = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}n_intended~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .3265462{col 26}{space 2} .1193882{col 37}{space 1}    2.74{col 46}{space 3}0.006{col 54}{space 4} .0922548{col 67}{space 3} .5608376
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(1, 953)         =  {res}     3.09
                                                {txt}Prob > F          = {res}    0.0789
                                                {txt}R-squared         = {res}    0.0033
                                                {txt}Root MSE          =    {res} .99398

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treat_any {c |}{col 14}{res}{space 2} .1196466{col 26}{space 2} .0680158{col 37}{space 1}    1.76{col 46}{space 3}0.079{col 54}{space 4}-.0138315{col 67}{space 3} .2531247
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.71e-10{col 26}{space 2} .0553579{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.1086374{col 67}{space 3} .1086374
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_any = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1196466{col 26}{space 2} .0680158{col 37}{space 1}    1.76{col 46}{space 3}0.079{col 54}{space 4}-.0138315{col 67}{space 3} .2531247
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         /* Statistics */
. 
. loc colnum = 1
{txt}
{com}. loc colnames ""
{txt}
{com}. 
. 
. foreach choice in `experiments' {c -(}
{txt}  2{com}. 
. /* Statistics */
. 
. 
. 
.  
.  
. ********************************Panel B*****************************************
.         
. 
.         
.    
.     xi: reg `choice'  voice_instrumental_pooled  voice_intrinsic_pooled , vce(r) // 
{txt}  3{com}.    
.    
.     sigstar  voice_instrumental_pooled   , prec(3)
{txt}  4{com}.     estadd loc thisstat8 = "`r(bstar)'": col`colnum'
{txt}  5{com}.     estadd loc thisstat9 = "`r(sestar)'": col`colnum'
{txt}  6{com}.    
.         sigstar voice_intrinsic_pooled  , prec(3)
{txt}  7{com}.     estadd loc thisstat11 = "`r(bstar)'": col`colnum'
{txt}  8{com}.     estadd loc thisstat12 = "`r(sestar)'": col`colnum'
{txt}  9{com}. 
.    
.    
.    
.         test    voice_instrumental_pooled = voice_intrinsic_pooled  
{txt} 10{com}.     estadd loc thisstat14 = string(`r(p)', "%9.2f"): col`colnum'
{txt} 11{com}. 
. 
.     loc ++colnum
{txt} 12{com}. 
. 
.         {c )-}

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     6.90
                                                {txt}Prob > F          = {res}    0.0011
                                                {txt}R-squared         = {res}    0.0081
                                                {txt}Root MSE          =    {res} .14253

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                any_doors{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} .0295593{col 39}{space 2} .0101164{col 50}{space 1}    2.92{col 59}{space 3}0.004{col 67}{space 4} .0097077{col 80}{space 3} .0494109
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2}  .023961{col 39}{space 2} .0093621{col 50}{space 1}    2.56{col 59}{space 3}0.011{col 67}{space 4} .0055896{col 80}{space 3} .0423325
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .0029851{col 39}{space 2} .0029851{col 50}{space 1}    1.00{col 59}{space 3}0.318{col 67}{space 4}-.0028726{col 80}{space 3} .0088428
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0295593{col 26}{space 2} .0101164{col 37}{space 1}    2.92{col 46}{space 3}0.004{col 54}{space 4} .0097077{col 67}{space 3} .0494109
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .023961{col 26}{space 2} .0093621{col 37}{space 1}    2.56{col 46}{space 3}0.011{col 54}{space 4} .0055896{col 67}{space 3} .0423325
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.18
{txt}{col 13}Prob > F ={res}    0.6697

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     6.34
                                                {txt}Prob > F          = {res}    0.0018
                                                {txt}R-squared         = {res}    0.0068
                                                {txt}Root MSE          =    {res} 7.4647

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}               doors_wins{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} 1.425188{col 39}{space 2} .5201529{col 50}{space 1}    2.74{col 59}{space 3}0.006{col 67}{space 4} .4044762{col 80}{space 3} 2.445899
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2} 1.149987{col 39}{space 2} .4849828{col 50}{space 1}    2.37{col 59}{space 3}0.018{col 67}{space 4} .1982906{col 80}{space 3} 2.101683
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .0955224{col 39}{space 2} .0955221{col 50}{space 1}    1.00{col 59}{space 3}0.318{col 67}{space 4}-.0919235{col 80}{space 3} .2829682
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  doors_wins{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.425188{col 26}{space 2} .5201529{col 37}{space 1}    2.74{col 46}{space 3}0.006{col 54}{space 4} .4044762{col 67}{space 3} 2.445899
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  doors_wins{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.149987{col 26}{space 2} .4849828{col 37}{space 1}    2.37{col 46}{space 3}0.018{col 54}{space 4} .1982906{col 67}{space 3} 2.101683
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.16
{txt}{col 13}Prob > F ={res}    0.6936

{txt}Linear regression                               Number of obs     = {res}       964
                                                {txt}F(2, 961)         =  {res}     4.11
                                                {txt}Prob > F          = {res}    0.0167
                                                {txt}R-squared         = {res}    0.0086
                                                {txt}Root MSE          =    {res} 1.7464

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}            n_intendedact{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} .3876698{col 39}{space 2} .1383421{col 50}{space 1}    2.80{col 59}{space 3}0.005{col 67}{space 4} .1161823{col 80}{space 3} .6591573
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2} .2646465{col 39}{space 2} .1372816{col 50}{space 1}    1.93{col 59}{space 3}0.054{col 67}{space 4}-.0047599{col 80}{space 3} .5340529
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 2.424242{col 39}{space 2} .0976226{col 50}{space 1}   24.83{col 59}{space 3}0.000{col 67}{space 4} 2.232664{col 80}{space 3}  2.61582
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}n_intended~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .3876698{col 26}{space 2} .1383421{col 37}{space 1}    2.80{col 46}{space 3}0.005{col 54}{space 4} .1161823{col 67}{space 3} .6591573
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}n_intended~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .2646465{col 26}{space 2} .1372816{col 37}{space 1}    1.93{col 46}{space 3}0.054{col 54}{space 4}-.0047599{col 67}{space 3} .5340529
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,   961) ={res}    0.80
{txt}{col 13}Prob > F ={res}    0.3714

{txt}Linear regression                               Number of obs     = {res}       955
                                                {txt}F(2, 952)         =  {res}     2.63
                                                {txt}Prob > F          = {res}    0.0727
                                                {txt}R-squared         = {res}    0.0054
                                                {txt}Root MSE          =    {res} .99341

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}               z_score_fs{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} .1767757{col 39}{space 2} .0782225{col 50}{space 1}    2.26{col 59}{space 3}0.024{col 67}{space 4} .0232672{col 80}{space 3} .3302841
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2}   .06197{col 39}{space 2} .0790566{col 50}{space 1}    0.78{col 59}{space 3}0.433{col 67}{space 4}-.0931754{col 80}{space 3} .2171154
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-1.71e-10{col 39}{space 2} .0553869{col 50}{space 1}   -0.00{col 59}{space 3}1.000{col 67}{space 4}-.1086946{col 80}{space 3} .1086946
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1767757{col 26}{space 2} .0782225{col 37}{space 1}    2.26{col 46}{space 3}0.024{col 54}{space 4} .0232672{col 67}{space 3} .3302841
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}   .06197{col 26}{space 2} .0790566{col 37}{space 1}    0.78{col 46}{space 3}0.433{col 54}{space 4}-.0931754{col 67}{space 3} .2171154
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,   952) ={res}    2.11
{txt}{col 13}Prob > F ={res}    0.1462
{txt}
{com}.         
. 
.         /* Statistics */
. 
. loc colnum = 1
{txt}
{com}. loc colnames ""
{txt}
{com}. 
. 
. foreach choice in `experiments' {c -(}
{txt}  2{com}. 
. /* Statistics */
. 
. 
. 
.  
.  
. ********************************Panel A*****************************************
. 
.         
.  xi: reg `choice' feedback_pooled  no_feedback_pooled    , vce(r) // 
{txt}  3{com}.    
.          
.    
.     
.     sigstar feedback_pooled   , prec(3)
{txt}  4{com}.     estadd loc thisstat18 = "`r(bstar)'": col`colnum'
{txt}  5{com}.     estadd loc thisstat19 = "`r(sestar)'": col`colnum'
{txt}  6{com}.    
.     sigstar no_feedback_pooled , prec(3)
{txt}  7{com}.     estadd loc thisstat21 = "`r(bstar)'": col`colnum'
{txt}  8{com}.     estadd loc thisstat22 = "`r(sestar)'": col`colnum'
{txt}  9{com}.         
.                 
.         test     feedback_pooled  = no_feedback_pooled
{txt} 10{com}. 
.         estadd loc thisstat24 = string(`r(p)', "%9.2f"): col`colnum'
{txt} 11{com}.                  
.         qui sum `choice' if control==1
{txt} 12{com}.         estadd loc thisstat25 = string(`r(mean)', "%9.2f"): col`colnum'
{txt} 13{com}.         
.         qui sum `choice' 
{txt} 14{com}.     estadd loc thisstat26 = string(`r(N)', "%9.0f"): col`colnum'
{txt} 15{com}.         
.         
.                 qui sum `choice' 
{txt} 16{com}.     estadd loc thisstat27 = "X": col`colnum'
{txt} 17{com}. 
. 
.         
.     loc ++colnum
{txt} 18{com}. 
.         {c )-}

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     6.89
                                                {txt}Prob > F          = {res}    0.0011
                                                {txt}R-squared         = {res}    0.0078
                                                {txt}Root MSE          =    {res} .14255

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}         any_doors{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}feedback_pooled {c |}{col 20}{res}{space 2}  .027318{col 32}{space 2} .0099107{col 43}{space 1}    2.76{col 52}{space 3}0.006{col 60}{space 4}   .00787{col 73}{space 3}  .046766
{txt}no_feedback_pooled {c |}{col 20}{res}{space 2} .0262547{col 32}{space 2} .0095997{col 43}{space 1}    2.73{col 52}{space 3}0.006{col 60}{space 4} .0074168{col 73}{space 3} .0450926
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .0029851{col 32}{space 2} .0029851{col 43}{space 1}    1.00{col 52}{space 3}0.318{col 60}{space 4}-.0028726{col 73}{space 3} .0088428
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .027318{col 26}{space 2} .0099107{col 37}{space 1}    2.76{col 46}{space 3}0.006{col 54}{space 4}   .00787{col 67}{space 3}  .046766
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}no_feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0262547{col 26}{space 2} .0095997{col 37}{space 1}    2.73{col 46}{space 3}0.006{col 54}{space 4} .0074168{col 67}{space 3} .0450926
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}feedback_pooled - no_feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9355

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(2, 1004)        =  {res}     6.33
                                                {txt}Prob > F          = {res}    0.0018
                                                {txt}R-squared         = {res}    0.0070
                                                {txt}Root MSE          =    {res} 7.4639

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}        doors_wins{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}feedback_pooled {c |}{col 20}{res}{space 2} 1.486296{col 32}{space 2} .5496388{col 43}{space 1}    2.70{col 52}{space 3}0.007{col 60}{space 4} .4077233{col 73}{space 3} 2.564868
{txt}no_feedback_pooled {c |}{col 20}{res}{space 2}  1.09746{col 32}{space 2} .4552165{col 43}{space 1}    2.41{col 52}{space 3}0.016{col 60}{space 4} .2041752{col 73}{space 3} 1.990745
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .0955224{col 32}{space 2} .0955221{col 43}{space 1}    1.00{col 52}{space 3}0.318{col 60}{space 4}-.0919235{col 73}{space 3} .2829682
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  doors_wins{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.486296{col 26}{space 2} .5496388{col 37}{space 1}    2.70{col 46}{space 3}0.007{col 54}{space 4} .4077233{col 67}{space 3} 2.564868
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}no_feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  doors_wins{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  1.09746{col 26}{space 2} .4552165{col 37}{space 1}    2.41{col 46}{space 3}0.016{col 54}{space 4} .2041752{col 67}{space 3} 1.990745
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}feedback_pooled - no_feedback_pooled = 0{p_end}

{txt}       F(  1,  1004) ={res}    0.31
{txt}{col 13}Prob > F ={res}    0.5791

{txt}Linear regression                               Number of obs     = {res}       964
                                                {txt}F(2, 961)         =  {res}     4.34
                                                {txt}Prob > F          = {res}    0.0133
                                                {txt}R-squared         = {res}    0.0089
                                                {txt}Root MSE          =    {res} 1.7461

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     n_intendedact{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}feedback_pooled {c |}{col 20}{res}{space 2} .4014155{col 32}{space 2} .1380498{col 43}{space 1}    2.91{col 52}{space 3}0.004{col 60}{space 4} .1305017{col 73}{space 3} .6723293
{txt}no_feedback_pooled {c |}{col 20}{res}{space 2} .2575758{col 32}{space 2} .1374904{col 43}{space 1}    1.87{col 52}{space 3}0.061{col 60}{space 4}-.0122403{col 73}{space 3} .5273918
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 2.424242{col 32}{space 2} .0976226{col 43}{space 1}   24.83{col 52}{space 3}0.000{col 60}{space 4} 2.232664{col 73}{space 3}  2.61582
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}n_intended~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .4014155{col 26}{space 2} .1380498{col 37}{space 1}    2.91{col 46}{space 3}0.004{col 54}{space 4} .1305017{col 67}{space 3} .6723293
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}no_feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}n_intended~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .2575758{col 26}{space 2} .1374904{col 37}{space 1}    1.87{col 46}{space 3}0.061{col 54}{space 4}-.0122403{col 67}{space 3} .5273918
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}feedback_pooled - no_feedback_pooled = 0{p_end}

{txt}       F(  1,   961) ={res}    1.09
{txt}{col 13}Prob > F ={res}    0.2957

{txt}Linear regression                               Number of obs     = {res}       955
                                                {txt}F(2, 952)         =  {res}     1.74
                                                {txt}Prob > F          = {res}    0.1758
                                                {txt}R-squared         = {res}    0.0036
                                                {txt}Root MSE          =    {res} .99431

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}        z_score_fs{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}feedback_pooled {c |}{col 20}{res}{space 2} .1449654{col 32}{space 2} .0793019{col 43}{space 1}    1.83{col 52}{space 3}0.068{col 60}{space 4}-.0106613{col 73}{space 3}  .300592
{txt}no_feedback_pooled {c |}{col 20}{res}{space 2} .0962636{col 32}{space 2} .0781095{col 43}{space 1}    1.23{col 52}{space 3}0.218{col 60}{space 4}-.0570231{col 73}{space 3} .2495503
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-1.71e-10{col 32}{space 2} .0553869{col 43}{space 1}   -0.00{col 52}{space 3}1.000{col 60}{space 4}-.1086946{col 73}{space 3} .1086946
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1449654{col 26}{space 2} .0793019{col 37}{space 1}    1.83{col 46}{space 3}0.068{col 54}{space 4}-.0106613{col 67}{space 3}  .300592
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}no_feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0962636{col 26}{space 2} .0781095{col 37}{space 1}    1.23{col 46}{space 3}0.218{col 54}{space 4}-.0570231{col 67}{space 3} .2495503
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}feedback_pooled - no_feedback_pooled = 0{p_end}

{txt}       F(  1,   952) ={res}    0.38
{txt}{col 13}Prob > F ={res}    0.5382
{txt}
{com}.         
.         
.         
. 
.         
.         
.          
. loc rowlabels " "\textbf{c -(}Panel A: Main effects{c )-} " " " "Any voice treatment" " " " " "\hline  " "\textbf{c -(}Panel B: Type of voice{c )-} \\ " " Instrumental" " " " "  "Intrinsic" " " " "  "\hline p(Instrumental = Intrinsic)" " \hline"  "\textbf{c -(}Panel C: Feedback announcement{c )-} \\ " " " "Feedback announcement" " " " "  "No feedback announcement" " " " "  "\hline p(Feedback = No feedback)" " \hline Control mean" "Number of Observations" "Controls" "
{txt}
{com}. 
. loc rowstats ""
{txt}
{com}. 
. forval i = 1/26 {c -(}
{txt}  2{com}.     loc rowstats "`rowstats' thisstat`i'"
{txt}  3{com}. {c )-}
{txt}
{com}. 
. 
. 
. esttab col* using "$output/treat_doors_fs_pooled_3panel_nocont.tex", replace cells(none) booktabs nonotes  compress alignment(c) nogap noobs nobaselevels label stats(`rowstats', labels(`rowlabels')) ///
>  mtitle("Any" "Doors (wins)"  "\# intended activities"   "Voice index (z)" ) mgroups("App data" "Survey data",  pattern(1 0  1 0 ) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}))
{res}{txt}(output written to {browse  `"/Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/output/treat_doors_fs_pooled_3panel_nocont.tex"'})

{com}. 
. 
. 
{txt}end of do-file

{com}. do "$scripts/tables/Table_A9_treat_intentions_pooled_3panel.do"
{txt}
{com}. 
. 
. use "$data/clean/clean_main_complete.dta" , replace
{txt}
{com}. 
. 
. loc experiments "n_intendedact  int_booth int_call int_posters  int_friends int_online int_doortodoor int_days_doortodoor"
{txt}
{com}. 
. 
.                    
.                    
. preserve
{txt}
{com}. 
. clear all
{res}{txt}
{com}. eststo clear
{txt}
{com}. estimates drop _all
{txt}
{com}. 
. set obs 10
{txt}{p}
number of observations (_N)  was 0,
now 10
{p_end}

{com}. qui gen x = 1
{txt}
{com}. qui gen y = 1
{txt}
{com}. 
. loc columns = 0
{txt}
{com}. 
. foreach choice in `experiments'   {c -(}
{txt}  2{com}. 
.     loc ++columns
{txt}  3{com}.     qui eststo col`columns': reg x y
{txt}  4{com}. 
. {c )-}
{txt}
{com}. 
. restore
{txt}
{com}. 
. 
. /* Statistics */
. 
. loc colnum = 1
{txt}
{com}. loc colnames ""
{txt}
{com}. 
. 
. foreach choice in `experiments' {c -(}
{txt}  2{com}. 
. /* Statistics */
. 
. 
. 
.  
.  
. ********************************Panel A*****************************************
.         
.         
.         
.  xi: reg `choice' treat_any $control , vce(r) // 
{txt}  3{com}.    
.    
.    
.     sigstar treat_any   , prec(3)
{txt}  4{com}.     estadd loc thisstat3 = "`r(bstar)'": col`colnum'
{txt}  5{com}.     estadd loc thisstat4 = "`r(sestar)'": col`colnum'
{txt}  6{com}.    
. 
.         
.         
.     loc ++colnum
{txt}  7{com}.     loc colnames "`colnames' `"`: var la `choice''"'"   
{txt}  8{com}.         
. 
.         {c )-}
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(17, 946)        =  {res}    37.61
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3299
                                                {txt}Root MSE          =    {res} 1.4471

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}        n_intendedact{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}treat_any {c |}{col 23}{res}{space 2} .2007217{col 35}{space 2} .1014902{col 46}{space 1}    1.98{col 55}{space 3}0.048{col 63}{space 4} .0015497{col 76}{space 3} .3998936
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .3750209{col 35}{space 2} .0483858{col 46}{space 1}    7.75{col 55}{space 3}0.000{col 63}{space 4} .2800649{col 76}{space 3} .4699768
{txt}{space 15}female {c |}{col 23}{res}{space 2}-.0443967{col 35}{space 2} .1160632{col 46}{space 1}   -0.38{col 55}{space 3}0.702{col 63}{space 4}-.2721678{col 76}{space 3} .1833745
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0171536{col 35}{space 2} .0034383{col 46}{space 1}   -4.99{col 55}{space 3}0.000{col 63}{space 4}-.0239012{col 76}{space 3} -.010406
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}-.0082595{col 35}{space 2} .0040558{col 46}{space 1}   -2.04{col 55}{space 3}0.042{col 63}{space 4}-.0162189{col 76}{space 3}-.0003001
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-1.449771{col 35}{space 2} .1902178{col 46}{space 1}   -7.62{col 55}{space 3}0.000{col 63}{space 4}-1.823069{col 76}{space 3}-1.076474
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2} .1221264{col 35}{space 2} .0591198{col 46}{space 1}    2.07{col 55}{space 3}0.039{col 63}{space 4} .0061052{col 76}{space 3} .2381475
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2}-.0185939{col 35}{space 2} .0499856{col 46}{space 1}   -0.37{col 55}{space 3}0.710{col 63}{space 4}-.1166894{col 76}{space 3} .0795015
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.0872789{col 35}{space 2} .0493475{col 46}{space 1}   -1.77{col 55}{space 3}0.077{col 63}{space 4}-.1841222{col 76}{space 3} .0095644
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} .2815411{col 35}{space 2} .1197425{col 46}{space 1}    2.35{col 55}{space 3}0.019{col 63}{space 4} .0465496{col 76}{space 3} .5165327
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0016327{col 35}{space 2} .0020598{col 46}{space 1}   -0.79{col 55}{space 3}0.428{col 63}{space 4} -.005675{col 76}{space 3} .0024096
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2} .5141242{col 35}{space 2} .1261656{col 46}{space 1}    4.07{col 55}{space 3}0.000{col 63}{space 4} .2665274{col 76}{space 3} .7617209
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2} .3646533{col 35}{space 2} .1464214{col 46}{space 1}    2.49{col 55}{space 3}0.013{col 63}{space 4} .0773049{col 76}{space 3} .6520017
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .8432748{col 35}{space 2} .1135544{col 46}{space 1}    7.43{col 55}{space 3}0.000{col 63}{space 4} .6204273{col 76}{space 3} 1.066122
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .3699812{col 35}{space 2} .1544698{col 46}{space 1}    2.40{col 55}{space 3}0.017{col 63}{space 4} .0668382{col 76}{space 3} .6731242
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .8634686{col 35}{space 2} .1249739{col 46}{space 1}    6.91{col 55}{space 3}0.000{col 63}{space 4} .6182105{col 76}{space 3} 1.108727
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2}-.1009419{col 35}{space 2}  .162588{col 46}{space 1}   -0.62{col 55}{space 3}0.535{col 63}{space 4}-.4200168{col 76}{space 3}  .218133
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 2.849961{col 35}{space 2} .1848397{col 46}{space 1}   15.42{col 55}{space 3}0.000{col 63}{space 4} 2.487218{col 76}{space 3} 3.212705
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_any = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}n_intended~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .2007217{col 26}{space 2} .1014902{col 37}{space 1}    1.98{col 46}{space 3}0.048{col 54}{space 4} .0015497{col 67}{space 3} .3998936
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(17, 946)        =  {res}    25.07
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2302
                                                {txt}Root MSE          =    {res}   .433

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}            int_booth{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}treat_any {c |}{col 23}{res}{space 2} .0562885{col 35}{space 2} .0302086{col 46}{space 1}    1.86{col 55}{space 3}0.063{col 63}{space 4} -.002995{col 76}{space 3} .1155721
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .0932924{col 35}{space 2} .0137459{col 46}{space 1}    6.79{col 55}{space 3}0.000{col 63}{space 4} .0663165{col 76}{space 3} .1202683
{txt}{space 15}female {c |}{col 23}{res}{space 2} -.003245{col 35}{space 2} .0357606{col 46}{space 1}   -0.09{col 55}{space 3}0.928{col 63}{space 4}-.0734243{col 76}{space 3} .0669343
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0029694{col 35}{space 2} .0010603{col 46}{space 1}   -2.80{col 55}{space 3}0.005{col 63}{space 4}-.0050501{col 76}{space 3}-.0008886
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}-.0022243{col 35}{space 2} .0012647{col 46}{space 1}   -1.76{col 55}{space 3}0.079{col 63}{space 4}-.0047063{col 76}{space 3} .0002576
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-.3177666{col 35}{space 2} .0678817{col 46}{space 1}   -4.68{col 55}{space 3}0.000{col 63}{space 4}-.4509826{col 76}{space 3}-.1845505
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2} .0188583{col 35}{space 2} .0155304{col 46}{space 1}    1.21{col 55}{space 3}0.225{col 63}{space 4}-.0116197{col 76}{space 3} .0493362
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2}-.0015887{col 35}{space 2} .0152323{col 46}{space 1}   -0.10{col 55}{space 3}0.917{col 63}{space 4}-.0314818{col 76}{space 3} .0283043
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2} .0015246{col 35}{space 2} .0142728{col 46}{space 1}    0.11{col 55}{space 3}0.915{col 63}{space 4}-.0264855{col 76}{space 3} .0295347
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} .0433001{col 35}{space 2}   .03995{col 46}{space 1}    1.08{col 55}{space 3}0.279{col 63}{space 4}-.0351009{col 76}{space 3}  .121701
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0006678{col 35}{space 2}  .000517{col 46}{space 1}   -1.29{col 55}{space 3}0.197{col 63}{space 4}-.0016823{col 76}{space 3} .0003467
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2} .1417851{col 35}{space 2} .0456409{col 46}{space 1}    3.11{col 55}{space 3}0.002{col 63}{space 4} .0522161{col 76}{space 3} .2313541
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2} .3772134{col 35}{space 2}  .055023{col 46}{space 1}    6.86{col 55}{space 3}0.000{col 63}{space 4} .2692321{col 76}{space 3} .4851946
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .0289864{col 35}{space 2} .0361325{col 46}{space 1}    0.80{col 55}{space 3}0.423{col 63}{space 4}-.0419228{col 76}{space 3} .0998955
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .0477787{col 35}{space 2} .0376679{col 46}{space 1}    1.27{col 55}{space 3}0.205{col 63}{space 4}-.0261436{col 76}{space 3}  .121701
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2}  .145017{col 35}{space 2} .0474935{col 46}{space 1}    3.05{col 55}{space 3}0.002{col 63}{space 4} .0518122{col 76}{space 3} .2382218
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2} .0508146{col 35}{space 2} .0425232{col 46}{space 1}    1.19{col 55}{space 3}0.232{col 63}{space 4} -.032636{col 76}{space 3} .1342653
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .4953025{col 35}{space 2}   .05648{col 46}{space 1}    8.77{col 55}{space 3}0.000{col 63}{space 4}  .384462{col 76}{space 3} .6061431
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_any = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   int_booth{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0562885{col 26}{space 2} .0302086{col 37}{space 1}    1.86{col 46}{space 3}0.063{col 54}{space 4} -.002995{col 67}{space 3} .1155721
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(17, 946)        =  {res}    10.53
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2869
                                                {txt}Root MSE          =    {res}  .2854

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}             int_call{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}treat_any {c |}{col 23}{res}{space 2} .0082525{col 35}{space 2} .0197257{col 46}{space 1}    0.42{col 55}{space 3}0.676{col 63}{space 4}-.0304587{col 76}{space 3} .0469638
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .0172638{col 35}{space 2}  .009213{col 46}{space 1}    1.87{col 55}{space 3}0.061{col 63}{space 4}-.0008164{col 76}{space 3} .0353441
{txt}{space 15}female {c |}{col 23}{res}{space 2}-.0136112{col 35}{space 2} .0227343{col 46}{space 1}   -0.60{col 55}{space 3}0.550{col 63}{space 4}-.0582267{col 76}{space 3} .0310042
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0002705{col 35}{space 2}  .000686{col 46}{space 1}   -0.39{col 55}{space 3}0.693{col 63}{space 4}-.0016168{col 76}{space 3} .0010758
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}-.0017593{col 35}{space 2} .0008212{col 46}{space 1}   -2.14{col 55}{space 3}0.032{col 63}{space 4}-.0033709{col 76}{space 3}-.0001477
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-.0346539{col 35}{space 2} .0343904{col 46}{space 1}   -1.01{col 55}{space 3}0.314{col 63}{space 4}-.1021442{col 76}{space 3} .0328365
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2}  .028871{col 35}{space 2} .0136266{col 46}{space 1}    2.12{col 55}{space 3}0.034{col 63}{space 4} .0021291{col 76}{space 3}  .055613
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2} .0009853{col 35}{space 2} .0096819{col 46}{space 1}    0.10{col 55}{space 3}0.919{col 63}{space 4}-.0180152{col 76}{space 3} .0199857
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2} .0027114{col 35}{space 2} .0114702{col 46}{space 1}    0.24{col 55}{space 3}0.813{col 63}{space 4}-.0197985{col 76}{space 3} .0252213
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2}-.0372543{col 35}{space 2} .0249334{col 46}{space 1}   -1.49{col 55}{space 3}0.135{col 63}{space 4}-.0861856{col 76}{space 3} .0116769
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0000492{col 35}{space 2}  .000408{col 46}{space 1}   -0.12{col 55}{space 3}0.904{col 63}{space 4}-.0008498{col 76}{space 3} .0007514
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2} -.009522{col 35}{space 2} .0258209{col 46}{space 1}   -0.37{col 55}{space 3}0.712{col 63}{space 4}-.0601949{col 76}{space 3} .0411509
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2} .0230336{col 35}{space 2} .0332428{col 46}{space 1}    0.69{col 55}{space 3}0.489{col 63}{space 4}-.0422044{col 76}{space 3} .0882717
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2}-.0084041{col 35}{space 2} .0240919{col 46}{space 1}   -0.35{col 55}{space 3}0.727{col 63}{space 4} -.055684{col 76}{space 3} .0388757
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .4426188{col 35}{space 2} .0390831{col 46}{space 1}   11.33{col 55}{space 3}0.000{col 63}{space 4} .3659192{col 76}{space 3} .5193184
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .0681402{col 35}{space 2} .0202664{col 46}{space 1}    3.36{col 55}{space 3}0.001{col 63}{space 4}  .028368{col 76}{space 3} .1079124
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2} .0610342{col 35}{space 2} .0341786{col 46}{space 1}    1.79{col 55}{space 3}0.074{col 63}{space 4}-.0060403{col 76}{space 3} .1281088
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .0689669{col 35}{space 2} .0360244{col 46}{space 1}    1.91{col 55}{space 3}0.056{col 63}{space 4}  -.00173{col 76}{space 3} .1396638
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_any = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    int_call{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0082525{col 26}{space 2} .0197257{col 37}{space 1}    0.42{col 46}{space 3}0.676{col 54}{space 4}-.0304587{col 67}{space 3} .0469638
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(17, 946)        =  {res}    36.89
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2679
                                                {txt}Root MSE          =    {res} .42716

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}          int_posters{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}treat_any {c |}{col 23}{res}{space 2} .0157624{col 35}{space 2} .0291805{col 46}{space 1}    0.54{col 55}{space 3}0.589{col 63}{space 4}-.0415035{col 76}{space 3} .0730284
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .0807235{col 35}{space 2}  .013502{col 46}{space 1}    5.98{col 55}{space 3}0.000{col 63}{space 4} .0542261{col 76}{space 3} .1072209
{txt}{space 15}female {c |}{col 23}{res}{space 2}-.0355869{col 35}{space 2}  .035618{col 46}{space 1}   -1.00{col 55}{space 3}0.318{col 63}{space 4}-.1054863{col 76}{space 3} .0343124
{txt}{space 18}age {c |}{col 23}{res}{space 2} -.005096{col 35}{space 2} .0009948{col 46}{space 1}   -5.12{col 55}{space 3}0.000{col 63}{space 4}-.0070483{col 76}{space 3}-.0031438
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}-.0043118{col 35}{space 2} .0011841{col 46}{space 1}   -3.64{col 55}{space 3}0.000{col 63}{space 4}-.0066356{col 76}{space 3} -.001988
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-.2325533{col 35}{space 2}  .061291{col 46}{space 1}   -3.79{col 55}{space 3}0.000{col 63}{space 4}-.3528354{col 76}{space 3}-.1122712
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2} .0014246{col 35}{space 2} .0168518{col 46}{space 1}    0.08{col 55}{space 3}0.933{col 63}{space 4}-.0316467{col 76}{space 3} .0344958
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2}-.0196925{col 35}{space 2} .0152117{col 46}{space 1}   -1.29{col 55}{space 3}0.196{col 63}{space 4} -.049545{col 76}{space 3}   .01016
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.0066423{col 35}{space 2} .0135571{col 46}{space 1}   -0.49{col 55}{space 3}0.624{col 63}{space 4}-.0332478{col 76}{space 3} .0199631
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} .0186428{col 35}{space 2} .0379056{col 46}{space 1}    0.49{col 55}{space 3}0.623{col 63}{space 4}-.0557459{col 76}{space 3} .0930316
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0002734{col 35}{space 2} .0005004{col 46}{space 1}   -0.55{col 55}{space 3}0.585{col 63}{space 4}-.0012554{col 76}{space 3} .0007086
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2} .4689057{col 35}{space 2} .0329964{col 46}{space 1}   14.21{col 55}{space 3}0.000{col 63}{space 4}  .404151{col 76}{space 3} .5336603
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2}  .045999{col 35}{space 2} .0512902{col 46}{space 1}    0.90{col 55}{space 3}0.370{col 63}{space 4}-.0546568{col 76}{space 3} .1466548
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .0442912{col 35}{space 2} .0356291{col 46}{space 1}    1.24{col 55}{space 3}0.214{col 63}{space 4}-.0256299{col 76}{space 3} .1142123
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2}-.0075136{col 35}{space 2} .0405926{col 46}{space 1}   -0.19{col 55}{space 3}0.853{col 63}{space 4}-.0871754{col 76}{space 3} .0721483
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .0370833{col 35}{space 2} .0445437{col 46}{space 1}    0.83{col 55}{space 3}0.405{col 63}{space 4}-.0503327{col 76}{space 3} .1244992
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2} .0045411{col 35}{space 2} .0441017{col 46}{space 1}    0.10{col 55}{space 3}0.918{col 63}{space 4}-.0820075{col 76}{space 3} .0910896
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .5318884{col 35}{space 2} .0556969{col 46}{space 1}    9.55{col 55}{space 3}0.000{col 63}{space 4} .4225847{col 76}{space 3} .6411922
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_any = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} int_posters{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0157624{col 26}{space 2} .0291805{col 37}{space 1}    0.54{col 46}{space 3}0.589{col 54}{space 4}-.0415035{col 67}{space 3} .0730284
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(17, 946)        =  {res}    20.32
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2340
                                                {txt}Root MSE          =    {res} .38871

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}          int_friends{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}treat_any {c |}{col 23}{res}{space 2} .0519389{col 35}{space 2} .0275967{col 46}{space 1}    1.88{col 55}{space 3}0.060{col 63}{space 4}-.0022189{col 76}{space 3} .1060966
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .0812722{col 35}{space 2} .0137446{col 46}{space 1}    5.91{col 55}{space 3}0.000{col 63}{space 4} .0542987{col 76}{space 3} .1082457
{txt}{space 15}female {c |}{col 23}{res}{space 2}  .003146{col 35}{space 2} .0311788{col 46}{space 1}    0.10{col 55}{space 3}0.920{col 63}{space 4}-.0580416{col 76}{space 3} .0643336
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0002254{col 35}{space 2} .0009738{col 46}{space 1}   -0.23{col 55}{space 3}0.817{col 63}{space 4}-.0021365{col 76}{space 3} .0016857
{txt}{space 9}member_years {c |}{col 23}{res}{space 2} .0018777{col 35}{space 2} .0011192{col 46}{space 1}    1.68{col 55}{space 3}0.094{col 63}{space 4}-.0003188{col 76}{space 3} .0040742
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-.4550081{col 35}{space 2}  .063319{col 46}{space 1}   -7.19{col 55}{space 3}0.000{col 63}{space 4}-.5792701{col 76}{space 3}-.3307462
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2} .0334215{col 35}{space 2} .0177124{col 46}{space 1}    1.89{col 55}{space 3}0.059{col 63}{space 4}-.0013387{col 76}{space 3} .0681816
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2}-.0203263{col 35}{space 2} .0135233{col 46}{space 1}   -1.50{col 55}{space 3}0.133{col 63}{space 4}-.0468653{col 76}{space 3} .0062128
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.0356125{col 35}{space 2}  .013143{col 46}{space 1}   -2.71{col 55}{space 3}0.007{col 63}{space 4}-.0614054{col 76}{space 3}-.0098197
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2}-.0140313{col 35}{space 2} .0349911{col 46}{space 1}   -0.40{col 55}{space 3}0.689{col 63}{space 4}-.0827004{col 76}{space 3} .0546378
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2} -.000413{col 35}{space 2} .0004433{col 46}{space 1}   -0.93{col 55}{space 3}0.352{col 63}{space 4} -.001283{col 76}{space 3}  .000457
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2}-.0420744{col 35}{space 2} .0383842{col 46}{space 1}   -1.10{col 55}{space 3}0.273{col 63}{space 4}-.1174025{col 76}{space 3} .0332537
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2}-.1017407{col 35}{space 2}  .045678{col 46}{space 1}   -2.23{col 55}{space 3}0.026{col 63}{space 4}-.1913827{col 76}{space 3}-.0120988
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .1129426{col 35}{space 2} .0323261{col 46}{space 1}    3.49{col 55}{space 3}0.000{col 63}{space 4} .0495033{col 76}{space 3} .1763818
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .0439775{col 35}{space 2} .0341368{col 46}{space 1}    1.29{col 55}{space 3}0.198{col 63}{space 4}-.0230152{col 76}{space 3} .1109701
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .5125261{col 35}{space 2} .0467171{col 46}{space 1}   10.97{col 55}{space 3}0.000{col 63}{space 4}  .420845{col 76}{space 3} .6042072
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2}-.0072217{col 35}{space 2} .0371481{col 46}{space 1}   -0.19{col 55}{space 3}0.846{col 63}{space 4} -.080124{col 76}{space 3} .0656805
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .7454197{col 35}{space 2}  .050138{col 46}{space 1}   14.87{col 55}{space 3}0.000{col 63}{space 4} .6470253{col 76}{space 3} .8438142
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_any = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} int_friends{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0519389{col 26}{space 2} .0275967{col 37}{space 1}    1.88{col 46}{space 3}0.060{col 54}{space 4}-.0022189{col 67}{space 3} .1060966
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(17, 946)        =  {res}    78.87
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4162
                                                {txt}Root MSE          =    {res} .38564

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}           int_online{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}treat_any {c |}{col 23}{res}{space 2} .0055517{col 35}{space 2} .0265235{col 46}{space 1}    0.21{col 55}{space 3}0.834{col 63}{space 4}-.0464999{col 76}{space 3} .0576034
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .0246809{col 35}{space 2} .0126568{col 46}{space 1}    1.95{col 55}{space 3}0.051{col 63}{space 4}-.0001578{col 76}{space 3} .0495197
{txt}{space 15}female {c |}{col 23}{res}{space 2}-.0053905{col 35}{space 2} .0318141{col 46}{space 1}   -0.17{col 55}{space 3}0.865{col 63}{space 4}-.0678249{col 76}{space 3}  .057044
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0041107{col 35}{space 2} .0009825{col 46}{space 1}   -4.18{col 55}{space 3}0.000{col 63}{space 4}-.0060387{col 76}{space 3}-.0021826
{txt}{space 9}member_years {c |}{col 23}{res}{space 2} .0002793{col 35}{space 2} .0010246{col 46}{space 1}    0.27{col 55}{space 3}0.785{col 63}{space 4}-.0017314{col 76}{space 3}   .00229
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-.2901283{col 35}{space 2} .0594711{col 46}{space 1}   -4.88{col 55}{space 3}0.000{col 63}{space 4}-.4068389{col 76}{space 3}-.1734177
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2} .0386931{col 35}{space 2} .0160283{col 46}{space 1}    2.41{col 55}{space 3}0.016{col 63}{space 4} .0072379{col 76}{space 3} .0701482
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2} .0109345{col 35}{space 2} .0139335{col 46}{space 1}    0.78{col 55}{space 3}0.433{col 63}{space 4}-.0164097{col 76}{space 3} .0382786
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.0170495{col 35}{space 2} .0126069{col 46}{space 1}   -1.35{col 55}{space 3}0.177{col 63}{space 4}-.0417902{col 76}{space 3} .0076912
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2}-.0311094{col 35}{space 2} .0296137{col 46}{space 1}   -1.05{col 55}{space 3}0.294{col 63}{space 4}-.0892255{col 76}{space 3} .0270067
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0009999{col 35}{space 2} .0004596{col 46}{space 1}   -2.18{col 55}{space 3}0.030{col 63}{space 4}-.0019018{col 76}{space 3} -.000098
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2} .0177732{col 35}{space 2} .0349045{col 46}{space 1}    0.51{col 55}{space 3}0.611{col 63}{space 4} -.050726{col 76}{space 3} .0862724
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2}-.1014777{col 35}{space 2} .0457108{col 46}{space 1}   -2.22{col 55}{space 3}0.027{col 63}{space 4}-.1911839{col 76}{space 3}-.0117715
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .6718592{col 35}{space 2} .0296883{col 46}{space 1}   22.63{col 55}{space 3}0.000{col 63}{space 4} .6135967{col 76}{space 3} .7301216
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2}  .003704{col 35}{space 2} .0347252{col 46}{space 1}    0.11{col 55}{space 3}0.915{col 63}{space 4}-.0644433{col 76}{space 3} .0718512
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .0664668{col 35}{space 2} .0324543{col 46}{space 1}    2.05{col 55}{space 3}0.041{col 63}{space 4}  .002776{col 76}{space 3} .1301575
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2}-.0182333{col 35}{space 2} .0340145{col 46}{space 1}   -0.54{col 55}{space 3}0.592{col 63}{space 4}-.0849858{col 76}{space 3} .0485192
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .6546869{col 35}{space 2} .0547185{col 46}{space 1}   11.96{col 55}{space 3}0.000{col 63}{space 4} .5473032{col 76}{space 3} .7620706
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_any = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  int_online{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0055517{col 26}{space 2} .0265235{col 37}{space 1}    0.21{col 46}{space 3}0.834{col 54}{space 4}-.0464999{col 67}{space 3} .0576034
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(17, 946)        =  {res}    31.65
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2731
                                                {txt}Root MSE          =    {res} .40624

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}       int_doortodoor{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}treat_any {c |}{col 23}{res}{space 2} .0201757{col 35}{space 2} .0276405{col 46}{space 1}    0.73{col 55}{space 3}0.466{col 63}{space 4}-.0340682{col 76}{space 3} .0744196
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .0796125{col 35}{space 2} .0125845{col 46}{space 1}    6.33{col 55}{space 3}0.000{col 63}{space 4} .0549157{col 76}{space 3} .1043093
{txt}{space 15}female {c |}{col 23}{res}{space 2} .0010383{col 35}{space 2} .0334723{col 46}{space 1}    0.03{col 55}{space 3}0.975{col 63}{space 4}-.0646502{col 76}{space 3} .0667268
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0052824{col 35}{space 2} .0010195{col 46}{space 1}   -5.18{col 55}{space 3}0.000{col 63}{space 4}-.0072831{col 76}{space 3}-.0032817
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}-.0025369{col 35}{space 2} .0011092{col 46}{space 1}   -2.29{col 55}{space 3}0.022{col 63}{space 4}-.0047138{col 76}{space 3}  -.00036
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-.1774877{col 35}{space 2} .0554423{col 46}{space 1}   -3.20{col 55}{space 3}0.001{col 63}{space 4}-.2862919{col 76}{space 3}-.0686835
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2}-.0069159{col 35}{space 2} .0136542{col 46}{space 1}   -0.51{col 55}{space 3}0.613{col 63}{space 4} -.033712{col 76}{space 3} .0198801
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2}-.0139035{col 35}{space 2} .0126543{col 46}{space 1}   -1.10{col 55}{space 3}0.272{col 63}{space 4}-.0387373{col 76}{space 3} .0109303
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2} .0088717{col 35}{space 2} .0128061{col 46}{space 1}    0.69{col 55}{space 3}0.489{col 63}{space 4}  -.01626{col 76}{space 3} .0340033
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} .3444294{col 35}{space 2} .0326229{col 46}{space 1}   10.56{col 55}{space 3}0.000{col 63}{space 4} .2804079{col 76}{space 3}  .408451
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2} .0006305{col 35}{space 2} .0005412{col 46}{space 1}    1.17{col 55}{space 3}0.244{col 63}{space 4}-.0004316{col 76}{space 3} .0016925
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2}-.0460647{col 35}{space 2} .0382658{col 46}{space 1}   -1.20{col 55}{space 3}0.229{col 63}{space 4}-.1211604{col 76}{space 3}  .029031
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2}  .093824{col 35}{space 2} .0416436{col 46}{space 1}    2.25{col 55}{space 3}0.024{col 63}{space 4} .0120995{col 76}{space 3} .1755484
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .0173796{col 35}{space 2} .0341778{col 46}{space 1}    0.51{col 55}{space 3}0.611{col 63}{space 4}-.0496935{col 76}{space 3} .0844528
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .0956693{col 35}{space 2} .0414424{col 46}{space 1}    2.31{col 55}{space 3}0.021{col 63}{space 4} .0143396{col 76}{space 3} .1769991
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .0560074{col 35}{space 2} .0386713{col 46}{space 1}    1.45{col 55}{space 3}0.148{col 63}{space 4}-.0198841{col 76}{space 3} .1318988
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2} .0206371{col 35}{space 2} .0396485{col 46}{space 1}    0.52{col 55}{space 3}0.603{col 63}{space 4}-.0571722{col 76}{space 3} .0984464
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .4554735{col 35}{space 2} .0533848{col 46}{space 1}    8.53{col 55}{space 3}0.000{col 63}{space 4} .3507073{col 76}{space 3} .5602398
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_any = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}int_doorto~r{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0201757{col 26}{space 2} .0276405{col 37}{space 1}    0.73{col 46}{space 3}0.466{col 54}{space 4}-.0340682{col 67}{space 3} .0744196
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       961
                                                {txt}F(17, 943)        =  {res}     9.36
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1852
                                                {txt}Root MSE          =    {res} 5.1872

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}  int_days_doortodoor{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}treat_any {c |}{col 23}{res}{space 2} .3522988{col 35}{space 2} .3437792{col 46}{space 1}    1.02{col 55}{space 3}0.306{col 63}{space 4}-.3223619{col 76}{space 3}  1.02696
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .1295035{col 35}{space 2}  .182465{col 46}{space 1}    0.71{col 55}{space 3}0.478{col 63}{space 4}-.2285808{col 76}{space 3} .4875879
{txt}{space 15}female {c |}{col 23}{res}{space 2}-.1604405{col 35}{space 2}  .431559{col 46}{space 1}   -0.37{col 55}{space 3}0.710{col 63}{space 4}-1.007368{col 76}{space 3} .6864867
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0450401{col 35}{space 2} .0128013{col 46}{space 1}   -3.52{col 55}{space 3}0.000{col 63}{space 4}-.0701624{col 76}{space 3}-.0199179
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}-.0403582{col 35}{space 2}  .014326{col 46}{space 1}   -2.82{col 55}{space 3}0.005{col 63}{space 4}-.0684728{col 76}{space 3}-.0122436
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-.8712468{col 35}{space 2} .6848106{col 46}{space 1}   -1.27{col 55}{space 3}0.204{col 63}{space 4}-2.215176{col 76}{space 3} .4726823
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2} .0735863{col 35}{space 2} .1744455{col 46}{space 1}    0.42{col 55}{space 3}0.673{col 63}{space 4}  -.26876{col 76}{space 3} .4159326
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2}-.2730211{col 35}{space 2} .1538591{col 46}{space 1}   -1.77{col 55}{space 3}0.076{col 63}{space 4} -.574967{col 76}{space 3} .0289248
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.0685648{col 35}{space 2} .1907671{col 46}{space 1}   -0.36{col 55}{space 3}0.719{col 63}{space 4}-.4429421{col 76}{space 3} .3058124
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} 1.581081{col 35}{space 2} .3517108{col 46}{space 1}    4.50{col 55}{space 3}0.000{col 63}{space 4} .8908547{col 76}{space 3} 2.271307
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}   .04281{col 35}{space 2}  .011948{col 46}{space 1}    3.58{col 55}{space 3}0.000{col 63}{space 4} .0193622{col 76}{space 3} .0662577
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2}-.4153956{col 35}{space 2}  .455692{col 46}{space 1}   -0.91{col 55}{space 3}0.362{col 63}{space 4}-1.309683{col 76}{space 3} .4788922
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2} .5426851{col 35}{space 2} .5231627{col 46}{space 1}    1.04{col 55}{space 3}0.300{col 63}{space 4}-.4840127{col 76}{space 3} 1.569383
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .6181526{col 35}{space 2} .3773264{col 46}{space 1}    1.64{col 55}{space 3}0.102{col 63}{space 4} -.122344{col 76}{space 3} 1.358649
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} 1.257882{col 35}{space 2}  .596536{col 46}{space 1}    2.11{col 55}{space 3}0.035{col 63}{space 4} .0871902{col 76}{space 3} 2.428573
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .3177062{col 35}{space 2} .3877845{col 46}{space 1}    0.82{col 55}{space 3}0.413{col 63}{space 4}-.4433142{col 76}{space 3} 1.078727
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2} .3592944{col 35}{space 2}  .490254{col 46}{space 1}    0.73{col 55}{space 3}0.464{col 63}{space 4}-.6028206{col 76}{space 3} 1.321409
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 3.495852{col 35}{space 2} .6052429{col 46}{space 1}    5.78{col 55}{space 3}0.000{col 63}{space 4} 2.308074{col 76}{space 3} 4.683631
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_any = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}int_days_d~r{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .3522988{col 26}{space 2} .3437792{col 37}{space 1}    1.02{col 46}{space 3}0.306{col 54}{space 4}-.3223619{col 67}{space 3}  1.02696
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         /* Statistics */
. 
. loc colnum = 1
{txt}
{com}. loc colnames ""
{txt}
{com}. 
. 
. foreach choice in `experiments' {c -(}
{txt}  2{com}. 
. /* Statistics */
. 
. 
. 
.  
. ********************************Panel B*****************************************
. 
.         
. 
. 
.    
.     xi: reg `choice'  voice_instrumental_pooled  voice_intrinsic_pooled  $control , vce(r) // 
{txt}  3{com}.    
.    
.     sigstar  voice_instrumental_pooled   , prec(3)
{txt}  4{com}.     estadd loc thisstat8 = "`r(bstar)'": col`colnum'
{txt}  5{com}.     estadd loc thisstat9 = "`r(sestar)'": col`colnum'
{txt}  6{com}.    
.         sigstar voice_intrinsic_pooled  , prec(3)
{txt}  7{com}.     estadd loc thisstat11 = "`r(bstar)'": col`colnum'
{txt}  8{com}.     estadd loc thisstat12 = "`r(sestar)'": col`colnum'
{txt}  9{com}. 
.    
.    
.    
.         test    voice_instrumental_pooled = voice_intrinsic_pooled  
{txt} 10{com}.     estadd loc thisstat14 = string(`r(p)', "%9.2f"): col`colnum'
{txt} 11{com}. 
. 
.     loc ++colnum
{txt} 12{com}. 
. 
.         {c )-}
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(18, 945)        =  {res}    35.56
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3303
                                                {txt}Root MSE          =    {res} 1.4475

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}            n_intendedact{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} .2416944{col 39}{space 2}  .115268{col 50}{space 1}    2.10{col 59}{space 3}0.036{col 67}{space 4} .0154835{col 80}{space 3} .4679053
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2} .1600267{col 39}{space 2}  .117387{col 50}{space 1}    1.36{col 59}{space 3}0.173{col 67}{space 4}-.0703427{col 80}{space 3}  .390396
{txt}{space 12}z_voice_prior {c |}{col 27}{res}{space 2} .3754505{col 39}{space 2} .0484519{col 50}{space 1}    7.75{col 59}{space 3}0.000{col 67}{space 4} .2803646{col 80}{space 3} .4705363
{txt}{space 19}female {c |}{col 27}{res}{space 2}-.0430641{col 39}{space 2} .1160432{col 50}{space 1}   -0.37{col 59}{space 3}0.711{col 67}{space 4}-.2707963{col 80}{space 3} .1846681
{txt}{space 22}age {c |}{col 27}{res}{space 2}-.0173769{col 39}{space 2} .0034614{col 50}{space 1}   -5.02{col 59}{space 3}0.000{col 67}{space 4}-.0241699{col 80}{space 3}-.0105839
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}-.0081285{col 39}{space 2} .0040557{col 50}{space 1}   -2.00{col 59}{space 3}0.045{col 67}{space 4}-.0160877{col 80}{space 3}-.0001693
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 4}d_experience_campaign {c |}{col 27}{res}{space 2}-1.441671{col 39}{space 2} .1914519{col 50}{space 1}   -7.53{col 59}{space 3}0.000{col 67}{space 4}-1.817391{col 80}{space 3}-1.065951
{txt}{space 14}z_votes_own {c |}{col 27}{res}{space 2} .1217076{col 39}{space 2} .0593623{col 50}{space 1}    2.05{col 59}{space 3}0.041{col 67}{space 4} .0052105{col 80}{space 3} .2382047
{txt}{space 10}z_votes_other_1 {c |}{col 27}{res}{space 2}-.0193841{col 39}{space 2} .0500027{col 50}{space 1}   -0.39{col 59}{space 3}0.698{col 67}{space 4}-.1175133{col 80}{space 3} .0787451
{txt}{space 10}z_votes_other_2 {c |}{col 27}{res}{space 2}-.0848482{col 39}{space 2} .0491313{col 50}{space 1}   -1.73{col 59}{space 3}0.085{col 67}{space 4}-.1812674{col 80}{space 3} .0115709
{txt}{space 11}pre_doortodoor {c |}{col 27}{res}{space 2} .2800662{col 39}{space 2} .1199037{col 50}{space 1}    2.34{col 59}{space 3}0.020{col 67}{space 4} .0447579{col 80}{space 3} .5153746
{txt}{space 6}pre_days_doortodoor {c |}{col 27}{res}{space 2}-.0015794{col 39}{space 2} .0020645{col 50}{space 1}   -0.77{col 59}{space 3}0.444{col 67}{space 4}-.0056308{col 80}{space 3} .0024721
{txt}{space 14}pre_posters {c |}{col 27}{res}{space 2}  .508563{col 39}{space 2}   .12657{col 50}{space 1}    4.02{col 59}{space 3}0.000{col 67}{space 4} .2601722{col 80}{space 3} .7569537
{txt}{space 16}pre_booth {c |}{col 27}{res}{space 2} .3643942{col 39}{space 2} .1472743{col 50}{space 1}    2.47{col 59}{space 3}0.014{col 67}{space 4} .0753716{col 80}{space 3} .6534167
{txt}{space 15}pre_online {c |}{col 27}{res}{space 2} .8389185{col 39}{space 2}  .113793{col 50}{space 1}    7.37{col 59}{space 3}0.000{col 67}{space 4} .6156024{col 80}{space 3} 1.062235
{txt}{space 17}pre_call {c |}{col 27}{res}{space 2} .3731508{col 39}{space 2} .1540398{col 50}{space 1}    2.42{col 59}{space 3}0.016{col 67}{space 4} .0708511{col 80}{space 3} .6754504
{txt}{space 14}pre_friends {c |}{col 27}{res}{space 2}  .861415{col 39}{space 2} .1253864{col 50}{space 1}    6.87{col 59}{space 3}0.000{col 67}{space 4}  .615347{col 80}{space 3} 1.107483
{txt}{space 15}pre_others {c |}{col 27}{res}{space 2}-.1045446{col 39}{space 2} .1628168{col 50}{space 1}   -0.64{col 59}{space 3}0.521{col 67}{space 4}-.4240688{col 80}{space 3} .2149796
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 2.858644{col 39}{space 2} .1858713{col 50}{space 1}   15.38{col 59}{space 3}0.000{col 67}{space 4} 2.493875{col 80}{space 3} 3.223412
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}n_intended~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .2416944{col 26}{space 2}  .115268{col 37}{space 1}    2.10{col 46}{space 3}0.036{col 54}{space 4} .0154835{col 67}{space 3} .4679053
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}n_intended~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1600267{col 26}{space 2}  .117387{col 37}{space 1}    1.36{col 46}{space 3}0.173{col 54}{space 4}-.0703427{col 67}{space 3}  .390396
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,   945) ={res}    0.52
{txt}{col 13}Prob > F ={res}    0.4723
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(18, 945)        =  {res}    23.65
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2303
                                                {txt}Root MSE          =    {res} .43323

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                int_booth{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} .0586645{col 39}{space 2} .0347444{col 50}{space 1}    1.69{col 59}{space 3}0.092{col 67}{space 4}-.0095207{col 80}{space 3} .1268497
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2} .0539287{col 39}{space 2} .0348034{col 50}{space 1}    1.55{col 59}{space 3}0.122{col 67}{space 4}-.0143722{col 80}{space 3} .1222295
{txt}{space 12}z_voice_prior {c |}{col 27}{res}{space 2} .0933173{col 39}{space 2} .0137493{col 50}{space 1}    6.79{col 59}{space 3}0.000{col 67}{space 4} .0663347{col 80}{space 3} .1202999
{txt}{space 19}female {c |}{col 27}{res}{space 2}-.0031678{col 39}{space 2} .0358021{col 50}{space 1}   -0.09{col 59}{space 3}0.930{col 67}{space 4}-.0734286{col 80}{space 3} .0670931
{txt}{space 22}age {c |}{col 27}{res}{space 2}-.0029823{col 39}{space 2} .0010671{col 50}{space 1}   -2.79{col 59}{space 3}0.005{col 67}{space 4}-.0050764{col 80}{space 3}-.0008883
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}-.0022167{col 39}{space 2} .0012649{col 50}{space 1}   -1.75{col 59}{space 3}0.080{col 67}{space 4} -.004699{col 80}{space 3} .0002655
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 4}d_experience_campaign {c |}{col 27}{res}{space 2}-.3172968{col 39}{space 2} .0681633{col 50}{space 1}   -4.65{col 59}{space 3}0.000{col 67}{space 4}-.4510657{col 80}{space 3} -.183528
{txt}{space 14}z_votes_own {c |}{col 27}{res}{space 2}  .018834{col 39}{space 2} .0155585{col 50}{space 1}    1.21{col 59}{space 3}0.226{col 67}{space 4}-.0116991{col 80}{space 3} .0493671
{txt}{space 10}z_votes_other_1 {c |}{col 27}{res}{space 2}-.0016346{col 39}{space 2} .0152341{col 50}{space 1}   -0.11{col 59}{space 3}0.915{col 67}{space 4}-.0315312{col 80}{space 3} .0282621
{txt}{space 10}z_votes_other_2 {c |}{col 27}{res}{space 2} .0016655{col 39}{space 2} .0143019{col 50}{space 1}    0.12{col 59}{space 3}0.907{col 67}{space 4}-.0264016{col 80}{space 3} .0297326
{txt}{space 11}pre_doortodoor {c |}{col 27}{res}{space 2} .0432145{col 39}{space 2} .0399658{col 50}{space 1}    1.08{col 59}{space 3}0.280{col 67}{space 4}-.0352174{col 80}{space 3} .1216465
{txt}{space 6}pre_days_doortodoor {c |}{col 27}{res}{space 2}-.0006647{col 39}{space 2} .0005175{col 50}{space 1}   -1.28{col 59}{space 3}0.199{col 67}{space 4}-.0016803{col 80}{space 3}  .000351
{txt}{space 14}pre_posters {c |}{col 27}{res}{space 2} .1414626{col 39}{space 2} .0457325{col 50}{space 1}    3.09{col 59}{space 3}0.002{col 67}{space 4} .0517136{col 80}{space 3} .2312115
{txt}{space 16}pre_booth {c |}{col 27}{res}{space 2} .3771984{col 39}{space 2} .0550569{col 50}{space 1}    6.85{col 59}{space 3}0.000{col 67}{space 4} .2691505{col 80}{space 3} .4852462
{txt}{space 15}pre_online {c |}{col 27}{res}{space 2} .0287337{col 39}{space 2}  .036273{col 50}{space 1}    0.79{col 59}{space 3}0.428{col 67}{space 4}-.0424512{col 80}{space 3} .0999187
{txt}{space 17}pre_call {c |}{col 27}{res}{space 2} .0479625{col 39}{space 2} .0377467{col 50}{space 1}    1.27{col 59}{space 3}0.204{col 67}{space 4}-.0261145{col 80}{space 3} .1220395
{txt}{space 14}pre_friends {c |}{col 27}{res}{space 2} .1448979{col 39}{space 2} .0475901{col 50}{space 1}    3.04{col 59}{space 3}0.002{col 67}{space 4} .0515034{col 80}{space 3} .2382925
{txt}{space 15}pre_others {c |}{col 27}{res}{space 2} .0506057{col 39}{space 2} .0425398{col 50}{space 1}    1.19{col 59}{space 3}0.234{col 67}{space 4}-.0328777{col 80}{space 3} .1340892
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}  .495806{col 39}{space 2} .0566851{col 50}{space 1}    8.75{col 59}{space 3}0.000{col 67}{space 4} .3845628{col 80}{space 3} .6070493
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   int_booth{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0586645{col 26}{space 2} .0347444{col 37}{space 1}    1.69{col 46}{space 3}0.092{col 54}{space 4}-.0095207{col 67}{space 3} .1268497
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   int_booth{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0539287{col 26}{space 2} .0348034{col 37}{space 1}    1.55{col 46}{space 3}0.122{col 54}{space 4}-.0143722{col 67}{space 3} .1222295
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,   945) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8905
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(18, 945)        =  {res}    10.16
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2888
                                                {txt}Root MSE          =    {res} .28516

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                 int_call{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2}  .026754{col 39}{space 2} .0227785{col 50}{space 1}    1.17{col 59}{space 3}0.240{col 67}{space 4}-.0179482{col 80}{space 3} .0714562
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2}-.0101235{col 39}{space 2}  .022653{col 50}{space 1}   -0.45{col 59}{space 3}0.655{col 67}{space 4}-.0545795{col 80}{space 3} .0343324
{txt}{space 12}z_voice_prior {c |}{col 27}{res}{space 2} .0174578{col 39}{space 2} .0092254{col 50}{space 1}    1.89{col 59}{space 3}0.059{col 67}{space 4}-.0006468{col 80}{space 3} .0355624
{txt}{space 19}female {c |}{col 27}{res}{space 2}-.0130095{col 39}{space 2} .0227216{col 50}{space 1}   -0.57{col 59}{space 3}0.567{col 67}{space 4}-.0576001{col 80}{space 3} .0315811
{txt}{space 22}age {c |}{col 27}{res}{space 2}-.0003713{col 39}{space 2}  .000682{col 50}{space 1}   -0.54{col 59}{space 3}0.586{col 67}{space 4}-.0017097{col 80}{space 3}  .000967
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}-.0017001{col 39}{space 2} .0008197{col 50}{space 1}   -2.07{col 59}{space 3}0.038{col 67}{space 4}-.0033087{col 80}{space 3}-.0000916
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 4}d_experience_campaign {c |}{col 27}{res}{space 2} -.030996{col 39}{space 2} .0344285{col 50}{space 1}   -0.90{col 59}{space 3}0.368{col 67}{space 4}-.0985611{col 80}{space 3} .0365691
{txt}{space 14}z_votes_own {c |}{col 27}{res}{space 2} .0286819{col 39}{space 2} .0137567{col 50}{space 1}    2.08{col 59}{space 3}0.037{col 67}{space 4} .0016847{col 80}{space 3} .0556792
{txt}{space 10}z_votes_other_1 {c |}{col 27}{res}{space 2} .0006284{col 39}{space 2} .0096911{col 50}{space 1}    0.06{col 59}{space 3}0.948{col 67}{space 4}-.0183901{col 80}{space 3}  .019647
{txt}{space 10}z_votes_other_2 {c |}{col 27}{res}{space 2}  .003809{col 39}{space 2} .0115258{col 50}{space 1}    0.33{col 59}{space 3}0.741{col 67}{space 4}-.0188101{col 80}{space 3} .0264281
{txt}{space 11}pre_doortodoor {c |}{col 27}{res}{space 2}-.0379203{col 39}{space 2} .0249353{col 50}{space 1}   -1.52{col 59}{space 3}0.129{col 67}{space 4}-.0868554{col 80}{space 3} .0110147
{txt}{space 6}pre_days_doortodoor {c |}{col 27}{res}{space 2}-.0000251{col 39}{space 2} .0004064{col 50}{space 1}   -0.06{col 59}{space 3}0.951{col 67}{space 4}-.0008226{col 80}{space 3} .0007723
{txt}{space 14}pre_posters {c |}{col 27}{res}{space 2}-.0120332{col 39}{space 2} .0258298{col 50}{space 1}   -0.47{col 59}{space 3}0.641{col 67}{space 4}-.0627236{col 80}{space 3} .0386572
{txt}{space 16}pre_booth {c |}{col 27}{res}{space 2} .0229166{col 39}{space 2} .0331184{col 50}{space 1}    0.69{col 59}{space 3}0.489{col 67}{space 4}-.0420774{col 80}{space 3} .0879107
{txt}{space 15}pre_online {c |}{col 27}{res}{space 2}-.0103713{col 39}{space 2} .0239952{col 50}{space 1}   -0.43{col 59}{space 3}0.666{col 67}{space 4}-.0574612{col 80}{space 3} .0367187
{txt}{space 17}pre_call {c |}{col 27}{res}{space 2}   .44405{col 39}{space 2} .0388818{col 50}{space 1}   11.42{col 59}{space 3}0.000{col 67}{space 4} .3677454{col 80}{space 3} .5203546
{txt}{space 14}pre_friends {c |}{col 27}{res}{space 2} .0672129{col 39}{space 2} .0202991{col 50}{space 1}    3.31{col 59}{space 3}0.001{col 67}{space 4} .0273763{col 80}{space 3} .1070495
{txt}{space 15}pre_others {c |}{col 27}{res}{space 2} .0594074{col 39}{space 2}   .03415{col 50}{space 1}    1.74{col 59}{space 3}0.082{col 67}{space 4}-.0076111{col 80}{space 3} .1264259
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .0728874{col 39}{space 2} .0358877{col 50}{space 1}    2.03{col 59}{space 3}0.043{col 67}{space 4} .0024586{col 80}{space 3} .1433161
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    int_call{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .026754{col 26}{space 2} .0227785{col 37}{space 1}    1.17{col 46}{space 3}0.240{col 54}{space 4}-.0179482{col 67}{space 3} .0714562
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    int_call{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0101235{col 26}{space 2}  .022653{col 37}{space 1}   -0.45{col 46}{space 3}0.655{col 54}{space 4}-.0545795{col 67}{space 3} .0343324
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,   945) ={res}    2.67
{txt}{col 13}Prob > F ={res}    0.1025
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(18, 945)        =  {res}    34.83
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2679
                                                {txt}Root MSE          =    {res} .42738

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}              int_posters{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} .0161266{col 39}{space 2} .0337835{col 50}{space 1}    0.48{col 59}{space 3}0.633{col 67}{space 4}-.0501728{col 80}{space 3}  .082426
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2} .0154008{col 39}{space 2} .0342134{col 50}{space 1}    0.45{col 59}{space 3}0.653{col 67}{space 4}-.0517422{col 80}{space 3} .0825438
{txt}{space 12}z_voice_prior {c |}{col 27}{res}{space 2} .0807274{col 39}{space 2} .0135159{col 50}{space 1}    5.97{col 59}{space 3}0.000{col 67}{space 4} .0542028{col 80}{space 3} .1072519
{txt}{space 19}female {c |}{col 27}{res}{space 2}-.0355751{col 39}{space 2} .0356546{col 50}{space 1}   -1.00{col 59}{space 3}0.319{col 67}{space 4}-.1055464{col 80}{space 3} .0343963
{txt}{space 22}age {c |}{col 27}{res}{space 2} -.005098{col 39}{space 2} .0010026{col 50}{space 1}   -5.08{col 59}{space 3}0.000{col 67}{space 4}-.0070655{col 80}{space 3}-.0031305
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}-.0043107{col 39}{space 2} .0011856{col 50}{space 1}   -3.64{col 59}{space 3}0.000{col 67}{space 4}-.0066373{col 80}{space 3} -.001984
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 4}d_experience_campaign {c |}{col 27}{res}{space 2}-.2324813{col 39}{space 2} .0615292{col 50}{space 1}   -3.78{col 59}{space 3}0.000{col 67}{space 4}-.3532309{col 80}{space 3}-.1117317
{txt}{space 14}z_votes_own {c |}{col 27}{res}{space 2} .0014209{col 39}{space 2} .0168708{col 50}{space 1}    0.08{col 59}{space 3}0.933{col 67}{space 4}-.0316877{col 80}{space 3} .0345294
{txt}{space 10}z_votes_other_1 {c |}{col 27}{res}{space 2}-.0196995{col 39}{space 2} .0152177{col 50}{space 1}   -1.29{col 59}{space 3}0.196{col 67}{space 4}-.0495639{col 80}{space 3} .0101648
{txt}{space 10}z_votes_other_2 {c |}{col 27}{res}{space 2}-.0066207{col 39}{space 2} .0135796{col 50}{space 1}   -0.49{col 59}{space 3}0.626{col 67}{space 4}-.0332705{col 80}{space 3}  .020029
{txt}{space 11}pre_doortodoor {c |}{col 27}{res}{space 2} .0186297{col 39}{space 2} .0379626{col 50}{space 1}    0.49{col 59}{space 3}0.624{col 67}{space 4} -.055871{col 80}{space 3} .0931305
{txt}{space 6}pre_days_doortodoor {c |}{col 27}{res}{space 2}-.0002729{col 39}{space 2} .0005015{col 50}{space 1}   -0.54{col 59}{space 3}0.586{col 67}{space 4}-.0012572{col 80}{space 3} .0007114
{txt}{space 14}pre_posters {c |}{col 27}{res}{space 2} .4688562{col 39}{space 2} .0330692{col 50}{space 1}   14.18{col 59}{space 3}0.000{col 67}{space 4} .4039587{col 80}{space 3} .5337537
{txt}{space 16}pre_booth {c |}{col 27}{res}{space 2} .0459967{col 39}{space 2} .0513238{col 50}{space 1}    0.90{col 59}{space 3}0.370{col 67}{space 4}-.0547251{col 80}{space 3} .1467184
{txt}{space 15}pre_online {c |}{col 27}{res}{space 2} .0442525{col 39}{space 2} .0357322{col 50}{space 1}    1.24{col 59}{space 3}0.216{col 67}{space 4}-.0258711{col 80}{space 3} .1143761
{txt}{space 17}pre_call {c |}{col 27}{res}{space 2}-.0074854{col 39}{space 2} .0406846{col 50}{space 1}   -0.18{col 59}{space 3}0.854{col 67}{space 4}-.0873281{col 80}{space 3} .0723573
{txt}{space 14}pre_friends {c |}{col 27}{res}{space 2}  .037065{col 39}{space 2} .0445878{col 50}{space 1}    0.83{col 59}{space 3}0.406{col 67}{space 4}-.0504375{col 80}{space 3} .1245676
{txt}{space 15}pre_others {c |}{col 27}{res}{space 2}  .004509{col 39}{space 2}  .044127{col 50}{space 1}    0.10{col 59}{space 3}0.919{col 67}{space 4}-.0820892{col 80}{space 3} .0911073
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .5319656{col 39}{space 2} .0558639{col 50}{space 1}    9.52{col 59}{space 3}0.000{col 67}{space 4} .4223339{col 80}{space 3} .6415973
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} int_posters{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0161266{col 26}{space 2} .0337835{col 37}{space 1}    0.48{col 46}{space 3}0.633{col 54}{space 4}-.0501728{col 67}{space 3}  .082426
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} int_posters{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0154008{col 26}{space 2} .0342134{col 37}{space 1}    0.45{col 46}{space 3}0.653{col 54}{space 4}-.0517422{col 67}{space 3} .0825438
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,   945) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9834
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(18, 945)        =  {res}    19.19
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2341
                                                {txt}Root MSE          =    {res}  .3889

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}              int_friends{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} .0470535{col 39}{space 2} .0317502{col 50}{space 1}    1.48{col 59}{space 3}0.139{col 67}{space 4}-.0152556{col 80}{space 3} .1093626
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2} .0567911{col 39}{space 2} .0313281{col 50}{space 1}    1.81{col 59}{space 3}0.070{col 67}{space 4}-.0046895{col 80}{space 3} .1182718
{txt}{space 12}z_voice_prior {c |}{col 27}{res}{space 2}  .081221{col 39}{space 2} .0137447{col 50}{space 1}    5.91{col 59}{space 3}0.000{col 67}{space 4} .0542473{col 80}{space 3} .1081946
{txt}{space 19}female {c |}{col 27}{res}{space 2} .0029871{col 39}{space 2}  .031227{col 50}{space 1}    0.10{col 59}{space 3}0.924{col 67}{space 4}-.0582951{col 80}{space 3} .0642694
{txt}{space 22}age {c |}{col 27}{res}{space 2}-.0001987{col 39}{space 2} .0009827{col 50}{space 1}   -0.20{col 59}{space 3}0.840{col 67}{space 4}-.0021272{col 80}{space 3} .0017297
{txt}{space 13}member_years {c |}{col 27}{res}{space 2} .0018621{col 39}{space 2} .0011227{col 50}{space 1}    1.66{col 59}{space 3}0.098{col 67}{space 4}-.0003412{col 80}{space 3} .0040653
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 4}d_experience_campaign {c |}{col 27}{res}{space 2} -.455974{col 39}{space 2} .0633745{col 50}{space 1}   -7.19{col 59}{space 3}0.000{col 67}{space 4} -.580345{col 80}{space 3} -.331603
{txt}{space 14}z_votes_own {c |}{col 27}{res}{space 2} .0334714{col 39}{space 2} .0176792{col 50}{space 1}    1.89{col 59}{space 3}0.059{col 67}{space 4}-.0012237{col 80}{space 3} .0681664
{txt}{space 10}z_votes_other_1 {c |}{col 27}{res}{space 2} -.020232{col 39}{space 2} .0135172{col 50}{space 1}   -1.50{col 59}{space 3}0.135{col 67}{space 4}-.0467593{col 80}{space 3} .0062952
{txt}{space 10}z_votes_other_2 {c |}{col 27}{res}{space 2}-.0359023{col 39}{space 2} .0131962{col 50}{space 1}   -2.72{col 59}{space 3}0.007{col 67}{space 4}-.0617996{col 80}{space 3}-.0100051
{txt}{space 11}pre_doortodoor {c |}{col 27}{res}{space 2}-.0138554{col 39}{space 2}  .035011{col 50}{space 1}   -0.40{col 59}{space 3}0.692{col 67}{space 4}-.0825637{col 80}{space 3} .0548528
{txt}{space 6}pre_days_doortodoor {c |}{col 27}{res}{space 2}-.0004194{col 39}{space 2} .0004442{col 50}{space 1}   -0.94{col 59}{space 3}0.345{col 67}{space 4}-.0012911{col 80}{space 3} .0004524
{txt}{space 14}pre_posters {c |}{col 27}{res}{space 2}-.0414113{col 39}{space 2}  .038381{col 50}{space 1}   -1.08{col 59}{space 3}0.281{col 67}{space 4}-.1167332{col 80}{space 3} .0339106
{txt}{space 16}pre_booth {c |}{col 27}{res}{space 2}-.1017098{col 39}{space 2} .0456577{col 50}{space 1}   -2.23{col 59}{space 3}0.026{col 67}{space 4}-.1913121{col 80}{space 3}-.0121076
{txt}{space 15}pre_online {c |}{col 27}{res}{space 2}  .113462{col 39}{space 2}  .032612{col 50}{space 1}    3.48{col 59}{space 3}0.001{col 67}{space 4} .0494616{col 80}{space 3} .1774624
{txt}{space 17}pre_call {c |}{col 27}{res}{space 2} .0435995{col 39}{space 2} .0341506{col 50}{space 1}    1.28{col 59}{space 3}0.202{col 67}{space 4}-.0234202{col 80}{space 3} .1106193
{txt}{space 14}pre_friends {c |}{col 27}{res}{space 2}  .512771{col 39}{space 2} .0467648{col 50}{space 1}   10.96{col 59}{space 3}0.000{col 67}{space 4}  .420996{col 80}{space 3} .6045459
{txt}{space 15}pre_others {c |}{col 27}{res}{space 2}-.0067922{col 39}{space 2} .0372284{col 50}{space 1}   -0.18{col 59}{space 3}0.855{col 67}{space 4}-.0798522{col 80}{space 3} .0662678
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .7443845{col 39}{space 2} .0504153{col 50}{space 1}   14.77{col 59}{space 3}0.000{col 67}{space 4} .6454456{col 80}{space 3} .8433235
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} int_friends{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0470535{col 26}{space 2} .0317502{col 37}{space 1}    1.48{col 46}{space 3}0.139{col 54}{space 4}-.0152556{col 67}{space 3} .1093626
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} int_friends{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0567911{col 26}{space 2} .0313281{col 37}{space 1}    1.81{col 46}{space 3}0.070{col 54}{space 4}-.0046895{col 67}{space 3} .1182718
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,   945) ={res}    0.10
{txt}{col 13}Prob > F ={res}    0.7496
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(18, 945)        =  {res}    74.96
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4172
                                                {txt}Root MSE          =    {res} .38552

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}               int_online{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2}-.0140737{col 39}{space 2} .0309488{col 50}{space 1}   -0.45{col 59}{space 3}0.649{col 67}{space 4}  -.07481{col 80}{space 3} .0466625
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2} .0250442{col 39}{space 2} .0303426{col 50}{space 1}    0.83{col 59}{space 3}0.409{col 67}{space 4}-.0345025{col 80}{space 3} .0845909
{txt}{space 12}z_voice_prior {c |}{col 27}{res}{space 2} .0244752{col 39}{space 2} .0126375{col 50}{space 1}    1.94{col 59}{space 3}0.053{col 67}{space 4}-.0003256{col 80}{space 3} .0492759
{txt}{space 19}female {c |}{col 27}{res}{space 2}-.0060288{col 39}{space 2} .0317814{col 50}{space 1}   -0.19{col 59}{space 3}0.850{col 67}{space 4}-.0683991{col 80}{space 3} .0563416
{txt}{space 22}age {c |}{col 27}{res}{space 2}-.0040037{col 39}{space 2}  .000986{col 50}{space 1}   -4.06{col 59}{space 3}0.000{col 67}{space 4}-.0059387{col 80}{space 3}-.0020687
{txt}{space 13}member_years {c |}{col 27}{res}{space 2} .0002165{col 39}{space 2} .0010259{col 50}{space 1}    0.21{col 59}{space 3}0.833{col 67}{space 4}-.0017968{col 80}{space 3} .0022299
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 4}d_experience_campaign {c |}{col 27}{res}{space 2}-.2940084{col 39}{space 2} .0596144{col 50}{space 1}   -4.93{col 59}{space 3}0.000{col 67}{space 4}-.4110004{col 80}{space 3}-.1770164
{txt}{space 14}z_votes_own {c |}{col 27}{res}{space 2} .0388936{col 39}{space 2} .0159896{col 50}{space 1}    2.43{col 59}{space 3}0.015{col 67}{space 4} .0075144{col 80}{space 3} .0702729
{txt}{space 10}z_votes_other_1 {c |}{col 27}{res}{space 2}  .011313{col 39}{space 2} .0138654{col 50}{space 1}    0.82{col 59}{space 3}0.415{col 67}{space 4}-.0158975{col 80}{space 3} .0385235
{txt}{space 10}z_votes_other_2 {c |}{col 27}{res}{space 2}-.0182138{col 39}{space 2} .0126189{col 50}{space 1}   -1.44{col 59}{space 3}0.149{col 67}{space 4}-.0429781{col 80}{space 3} .0065505
{txt}{space 11}pre_doortodoor {c |}{col 27}{res}{space 2}-.0304029{col 39}{space 2} .0296869{col 50}{space 1}   -1.02{col 59}{space 3}0.306{col 67}{space 4}-.0886629{col 80}{space 3}  .027857
{txt}{space 6}pre_days_doortodoor {c |}{col 27}{res}{space 2}-.0010255{col 39}{space 2} .0004563{col 50}{space 1}   -2.25{col 59}{space 3}0.025{col 67}{space 4}-.0019209{col 80}{space 3}  -.00013
{txt}{space 14}pre_posters {c |}{col 27}{res}{space 2}  .020437{col 39}{space 2} .0348869{col 50}{space 1}    0.59{col 59}{space 3}0.558{col 67}{space 4}-.0480279{col 80}{space 3} .0889018
{txt}{space 16}pre_booth {c |}{col 27}{res}{space 2}-.1013536{col 39}{space 2} .0459084{col 50}{space 1}   -2.21{col 59}{space 3}0.028{col 67}{space 4}-.1914477{col 80}{space 3}-.0112595
{txt}{space 15}pre_online {c |}{col 27}{res}{space 2} .6739458{col 39}{space 2} .0297027{col 50}{space 1}   22.69{col 59}{space 3}0.000{col 67}{space 4} .6156549{col 80}{space 3} .7322367
{txt}{space 17}pre_call {c |}{col 27}{res}{space 2} .0021858{col 39}{space 2} .0346976{col 50}{space 1}    0.06{col 59}{space 3}0.950{col 67}{space 4}-.0659075{col 80}{space 3}  .070279
{txt}{space 14}pre_friends {c |}{col 27}{res}{space 2} .0674504{col 39}{space 2} .0324447{col 50}{space 1}    2.08{col 59}{space 3}0.038{col 67}{space 4} .0037783{col 80}{space 3} .1311225
{txt}{space 15}pre_others {c |}{col 27}{res}{space 2}-.0165076{col 39}{space 2} .0339528{col 50}{space 1}   -0.49{col 59}{space 3}0.627{col 67}{space 4}-.0831392{col 80}{space 3}  .050124
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .6505282{col 39}{space 2} .0547613{col 50}{space 1}   11.88{col 59}{space 3}0.000{col 67}{space 4} .5430604{col 80}{space 3}  .757996
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  int_online{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0140737{col 26}{space 2} .0309488{col 37}{space 1}   -0.45{col 46}{space 3}0.649{col 54}{space 4}  -.07481{col 67}{space 3} .0466625
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  int_online{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0250442{col 26}{space 2} .0303426{col 37}{space 1}    0.83{col 46}{space 3}0.409{col 54}{space 4}-.0345025{col 67}{space 3} .0845909
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,   945) ={res}    1.62
{txt}{col 13}Prob > F ={res}    0.2028
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(18, 945)        =  {res}    29.77
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2738
                                                {txt}Root MSE          =    {res} .40626

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}           int_doortodoor{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} .0357179{col 39}{space 2} .0321222{col 50}{space 1}    1.11{col 59}{space 3}0.266{col 67}{space 4}-.0273212{col 80}{space 3} .0987571
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2} .0047389{col 39}{space 2} .0322434{col 50}{space 1}    0.15{col 59}{space 3}0.883{col 67}{space 4}-.0585381{col 80}{space 3} .0680158
{txt}{space 12}z_voice_prior {c |}{col 27}{res}{space 2} .0797755{col 39}{space 2} .0126048{col 50}{space 1}    6.33{col 59}{space 3}0.000{col 67}{space 4} .0550389{col 80}{space 3}  .104512
{txt}{space 19}female {c |}{col 27}{res}{space 2} .0015438{col 39}{space 2} .0334976{col 50}{space 1}    0.05{col 59}{space 3}0.963{col 67}{space 4}-.0641945{col 80}{space 3} .0672821
{txt}{space 22}age {c |}{col 27}{res}{space 2}-.0053671{col 39}{space 2} .0010196{col 50}{space 1}   -5.26{col 59}{space 3}0.000{col 67}{space 4} -.007368{col 80}{space 3}-.0033661
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}-.0024872{col 39}{space 2} .0011055{col 50}{space 1}   -2.25{col 59}{space 3}0.025{col 67}{space 4}-.0046567{col 80}{space 3}-.0003177
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 4}d_experience_campaign {c |}{col 27}{res}{space 2}-.1744149{col 39}{space 2} .0556252{col 50}{space 1}   -3.14{col 59}{space 3}0.002{col 67}{space 4}-.2835781{col 80}{space 3}-.0652517
{txt}{space 14}z_votes_own {c |}{col 27}{res}{space 2}-.0070748{col 39}{space 2} .0136471{col 50}{space 1}   -0.52{col 59}{space 3}0.604{col 67}{space 4}-.0338569{col 80}{space 3} .0197073
{txt}{space 10}z_votes_other_1 {c |}{col 27}{res}{space 2}-.0142033{col 39}{space 2} .0126228{col 50}{space 1}   -1.13{col 59}{space 3}0.261{col 67}{space 4}-.0389752{col 80}{space 3} .0105686
{txt}{space 10}z_votes_other_2 {c |}{col 27}{res}{space 2} .0097937{col 39}{space 2} .0128013{col 50}{space 1}    0.77{col 59}{space 3}0.444{col 67}{space 4}-.0153287{col 80}{space 3} .0349161
{txt}{space 11}pre_doortodoor {c |}{col 27}{res}{space 2}   .34387{col 39}{space 2} .0326358{col 50}{space 1}   10.54{col 59}{space 3}0.000{col 67}{space 4}  .279823{col 80}{space 3} .4079169
{txt}{space 6}pre_days_doortodoor {c |}{col 27}{res}{space 2} .0006507{col 39}{space 2} .0005443{col 50}{space 1}    1.20{col 59}{space 3}0.232{col 67}{space 4}-.0004174{col 80}{space 3} .0017188
{txt}{space 14}pre_posters {c |}{col 27}{res}{space 2}-.0481742{col 39}{space 2} .0384499{col 50}{space 1}   -1.25{col 59}{space 3}0.211{col 67}{space 4}-.1236312{col 80}{space 3} .0272828
{txt}{space 16}pre_booth {c |}{col 27}{res}{space 2} .0937257{col 39}{space 2} .0419116{col 50}{space 1}    2.24{col 59}{space 3}0.026{col 67}{space 4} .0114752{col 80}{space 3} .1759762
{txt}{space 15}pre_online {c |}{col 27}{res}{space 2} .0157271{col 39}{space 2} .0342066{col 50}{space 1}    0.46{col 59}{space 3}0.646{col 67}{space 4}-.0514025{col 80}{space 3} .0828568
{txt}{space 17}pre_call {c |}{col 27}{res}{space 2} .0968717{col 39}{space 2} .0414871{col 50}{space 1}    2.33{col 59}{space 3}0.020{col 67}{space 4} .0154542{col 80}{space 3} .1782891
{txt}{space 14}pre_friends {c |}{col 27}{res}{space 2} .0552284{col 39}{space 2} .0386364{col 50}{space 1}    1.43{col 59}{space 3}0.153{col 67}{space 4}-.0205948{col 80}{space 3} .1310515
{txt}{space 15}pre_others {c |}{col 27}{res}{space 2} .0192705{col 39}{space 2} .0396806{col 50}{space 1}    0.49{col 59}{space 3}0.627{col 67}{space 4}-.0586018{col 80}{space 3} .0971427
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}  .458767{col 39}{space 2} .0534169{col 50}{space 1}    8.59{col 59}{space 3}0.000{col 67}{space 4} .3539376{col 80}{space 3} .5635964
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}int_doorto~r{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0357179{col 26}{space 2} .0321222{col 37}{space 1}    1.11{col 46}{space 3}0.266{col 54}{space 4}-.0273212{col 67}{space 3} .0987571
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}int_doorto~r{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0047389{col 26}{space 2} .0322434{col 37}{space 1}    0.15{col 46}{space 3}0.883{col 54}{space 4}-.0585381{col 67}{space 3} .0680158
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,   945) ={res}    0.88
{txt}{col 13}Prob > F ={res}    0.3474
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       961
                                                {txt}F(18, 942)        =  {res}     8.97
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1852
                                                {txt}Root MSE          =    {res} 5.1897

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}      int_days_doortodoor{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2}  .290987{col 39}{space 2} .3926412{col 50}{space 1}    0.74{col 59}{space 3}0.459{col 67}{space 4}-.4795657{col 80}{space 3}  1.06154
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2} .4134795{col 39}{space 2} .4154238{col 50}{space 1}    1.00{col 59}{space 3}0.320{col 67}{space 4}-.4017837{col 80}{space 3} 1.228743
{txt}{space 12}z_voice_prior {c |}{col 27}{res}{space 2}  .128918{col 39}{space 2} .1828319{col 50}{space 1}    0.71{col 59}{space 3}0.481{col 67}{space 4}-.2298869{col 80}{space 3}  .487723
{txt}{space 19}female {c |}{col 27}{res}{space 2}-.1624684{col 39}{space 2} .4317835{col 50}{space 1}   -0.38{col 59}{space 3}0.707{col 67}{space 4}-1.009837{col 80}{space 3} .6849005
{txt}{space 22}age {c |}{col 27}{res}{space 2}-.0447089{col 39}{space 2}  .012934{col 50}{space 1}   -3.46{col 59}{space 3}0.001{col 67}{space 4}-.0700918{col 80}{space 3}-.0193261
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}-.0405537{col 39}{space 2} .0142467{col 50}{space 1}   -2.85{col 59}{space 3}0.005{col 67}{space 4}-.0685127{col 80}{space 3}-.0125948
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 4}d_experience_campaign {c |}{col 27}{res}{space 2}-.8839431{col 39}{space 2} .6910186{col 50}{space 1}   -1.28{col 59}{space 3}0.201{col 67}{space 4}-2.240057{col 80}{space 3} .4721708
{txt}{space 14}z_votes_own {c |}{col 27}{res}{space 2} .0742061{col 39}{space 2} .1744906{col 50}{space 1}    0.43{col 59}{space 3}0.671{col 67}{space 4}-.2682291{col 80}{space 3} .4166412
{txt}{space 10}z_votes_other_1 {c |}{col 27}{res}{space 2}  -.27184{col 39}{space 2} .1531641{col 50}{space 1}   -1.77{col 59}{space 3}0.076{col 67}{space 4}-.5724224{col 80}{space 3} .0287424
{txt}{space 10}z_votes_other_2 {c |}{col 27}{res}{space 2}-.0721894{col 39}{space 2} .1892346{col 50}{space 1}   -0.38{col 59}{space 3}0.703{col 67}{space 4}-.4435595{col 80}{space 3} .2991807
{txt}{space 11}pre_doortodoor {c |}{col 27}{res}{space 2} 1.583131{col 39}{space 2} .3521057{col 50}{space 1}    4.50{col 59}{space 3}0.000{col 67}{space 4} .8921289{col 80}{space 3} 2.274133
{txt}{space 6}pre_days_doortodoor {c |}{col 27}{res}{space 2} .0427302{col 39}{space 2}  .011951{col 50}{space 1}    3.58{col 59}{space 3}0.000{col 67}{space 4} .0192764{col 80}{space 3} .0661839
{txt}{space 14}pre_posters {c |}{col 27}{res}{space 2}-.4070105{col 39}{space 2} .4529398{col 50}{space 1}   -0.90{col 59}{space 3}0.369{col 67}{space 4}-1.295898{col 80}{space 3} .4818771
{txt}{space 16}pre_booth {c |}{col 27}{res}{space 2} .5433148{col 39}{space 2} .5232201{col 50}{space 1}    1.04{col 59}{space 3}0.299{col 67}{space 4}-.4834971{col 80}{space 3} 1.570127
{txt}{space 15}pre_online {c |}{col 27}{res}{space 2}  .624678{col 39}{space 2} .3792101{col 50}{space 1}    1.65{col 59}{space 3}0.100{col 67}{space 4}-.1195164{col 80}{space 3} 1.368872
{txt}{space 17}pre_call {c |}{col 27}{res}{space 2} 1.253145{col 39}{space 2} .5986254{col 50}{space 1}    2.09{col 59}{space 3}0.037{col 67}{space 4} .0783511{col 80}{space 3} 2.427939
{txt}{space 14}pre_friends {c |}{col 27}{res}{space 2} .3209244{col 39}{space 2} .3894999{col 50}{space 1}    0.82{col 59}{space 3}0.410{col 67}{space 4}-.4434635{col 80}{space 3} 1.085312
{txt}{space 15}pre_others {c |}{col 27}{res}{space 2} .3647366{col 39}{space 2}  .491515{col 50}{space 1}    0.74{col 59}{space 3}0.458{col 67}{space 4}-.5998544{col 80}{space 3} 1.329328
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 3.483147{col 39}{space 2} .6084812{col 50}{space 1}    5.72{col 59}{space 3}0.000{col 67}{space 4} 2.289012{col 80}{space 3} 4.677283
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}int_days_d~r{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .290987{col 26}{space 2} .3926412{col 37}{space 1}    0.74{col 46}{space 3}0.459{col 54}{space 4}-.4795657{col 67}{space 3}  1.06154
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}int_days_d~r{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .4134795{col 26}{space 2} .4154238{col 37}{space 1}    1.00{col 46}{space 3}0.320{col 54}{space 4}-.4017837{col 67}{space 3} 1.228743
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,   942) ={res}    0.08
{txt}{col 13}Prob > F ={res}    0.7731
{txt}
{com}.         
. 
.         /* Statistics */
. 
. loc colnum = 1
{txt}
{com}. loc colnames ""
{txt}
{com}. 
. 
. foreach choice in `experiments' {c -(}
{txt}  2{com}. 
. /* Statistics */
. 
. 
. 
.  
.  
. ********************************Panel A*****************************************
.         
. 
.         
.  xi: reg `choice' feedback_pooled  no_feedback_pooled   $control  , vce(r) // 
{txt}  3{com}.    
.          
.    
.     
.     sigstar feedback_pooled   , prec(3)
{txt}  4{com}.     estadd loc thisstat18 = "`r(bstar)'": col`colnum'
{txt}  5{com}.     estadd loc thisstat19 = "`r(sestar)'": col`colnum'
{txt}  6{com}.    
.     sigstar no_feedback_pooled , prec(3)
{txt}  7{com}.     estadd loc thisstat21 = "`r(bstar)'": col`colnum'
{txt}  8{com}.     estadd loc thisstat22 = "`r(sestar)'": col`colnum'
{txt}  9{com}.         
.                 
.         test     feedback_pooled  = no_feedback_pooled
{txt} 10{com}. 
.         estadd loc thisstat24 = string(`r(p)', "%9.2f"): col`colnum'
{txt} 11{com}.                  
.         qui sum `choice' if control==1
{txt} 12{com}.         estadd loc thisstat25 = string(`r(mean)', "%9.2f"): col`colnum'
{txt} 13{com}.         
.         qui sum `choice' 
{txt} 14{com}.     estadd loc thisstat26 = string(`r(N)', "%9.0f"): col`colnum'
{txt} 15{com}.         
.         
.                 qui sum `choice' 
{txt} 16{com}.     estadd loc thisstat27 = "X": col`colnum'
{txt} 17{com}. 
. 
.         
.     loc ++colnum
{txt} 18{com}. 
.         {c )-}
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(18, 945)        =  {res}    35.67
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3307
                                                {txt}Root MSE          =    {res}  1.447

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}        n_intendedact{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}feedback_pooled {c |}{col 23}{res}{space 2} .2635323{col 35}{space 2} .1158663{col 46}{space 1}    2.27{col 55}{space 3}0.023{col 63}{space 4} .0361473{col 76}{space 3} .4909173
{txt}{space 3}no_feedback_pooled {c |}{col 23}{res}{space 2} .1427812{col 35}{space 2} .1165501{col 46}{space 1}    1.23{col 55}{space 3}0.221{col 63}{space 4}-.0859458{col 76}{space 3} .3715082
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .3753831{col 35}{space 2} .0484335{col 46}{space 1}    7.75{col 55}{space 3}0.000{col 63}{space 4} .2803334{col 76}{space 3} .4704328
{txt}{space 15}female {c |}{col 23}{res}{space 2}-.0461545{col 35}{space 2} .1161753{col 46}{space 1}   -0.40{col 55}{space 3}0.691{col 63}{space 4} -.274146{col 76}{space 3} .1818369
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0170001{col 35}{space 2}  .003442{col 46}{space 1}   -4.94{col 55}{space 3}0.000{col 63}{space 4} -.023755{col 76}{space 3}-.0102452
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}-.0084073{col 35}{space 2} .0040659{col 46}{space 1}   -2.07{col 55}{space 3}0.039{col 63}{space 4}-.0163865{col 76}{space 3} -.000428
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-1.450292{col 35}{space 2} .1899655{col 46}{space 1}   -7.63{col 55}{space 3}0.000{col 63}{space 4}-1.823095{col 76}{space 3}-1.077488
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2} .1234135{col 35}{space 2} .0598064{col 46}{space 1}    2.06{col 55}{space 3}0.039{col 63}{space 4} .0060447{col 76}{space 3} .2407822
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2} -.017871{col 35}{space 2} .0499026{col 46}{space 1}   -0.36{col 55}{space 3}0.720{col 63}{space 4}-.1158036{col 76}{space 3} .0800617
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.0849657{col 35}{space 2} .0492607{col 46}{space 1}   -1.72{col 55}{space 3}0.085{col 63}{space 4}-.1816387{col 76}{space 3} .0117073
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} .2776879{col 35}{space 2} .1201667{col 46}{space 1}    2.31{col 55}{space 3}0.021{col 63}{space 4} .0418635{col 76}{space 3} .5135123
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0016273{col 35}{space 2} .0020514{col 46}{space 1}   -0.79{col 55}{space 3}0.428{col 63}{space 4}-.0056531{col 76}{space 3} .0023985
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2} .5168911{col 35}{space 2} .1268384{col 46}{space 1}    4.08{col 55}{space 3}0.000{col 63}{space 4} .2679736{col 76}{space 3} .7658086
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2} .3578268{col 35}{space 2} .1462359{col 46}{space 1}    2.45{col 55}{space 3}0.015{col 63}{space 4} .0708421{col 76}{space 3} .6448116
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .8501395{col 35}{space 2} .1133666{col 46}{space 1}    7.50{col 55}{space 3}0.000{col 63}{space 4} .6276602{col 76}{space 3} 1.072619
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .3745194{col 35}{space 2} .1543345{col 46}{space 1}    2.43{col 55}{space 3}0.015{col 63}{space 4} .0716414{col 76}{space 3} .6773974
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .8585036{col 35}{space 2} .1252822{col 46}{space 1}    6.85{col 55}{space 3}0.000{col 63}{space 4} .6126402{col 76}{space 3} 1.104367
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2}-.1022295{col 35}{space 2} .1621837{col 46}{space 1}   -0.63{col 55}{space 3}0.529{col 63}{space 4}-.4205114{col 76}{space 3} .2160525
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 2.850274{col 35}{space 2} .1849647{col 46}{space 1}   15.41{col 55}{space 3}0.000{col 63}{space 4} 2.487285{col 76}{space 3} 3.213264
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}n_intended~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .2635323{col 26}{space 2} .1158663{col 37}{space 1}    2.27{col 46}{space 3}0.023{col 54}{space 4} .0361473{col 67}{space 3} .4909173
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}no_feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}n_intended~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1427812{col 26}{space 2} .1165501{col 37}{space 1}    1.23{col 46}{space 3}0.221{col 54}{space 4}-.0859458{col 67}{space 3} .3715082
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}feedback_pooled - no_feedback_pooled = 0{p_end}

{txt}       F(  1,   945) ={res}    1.14
{txt}{col 13}Prob > F ={res}    0.2859
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(18, 945)        =  {res}    23.65
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2302
                                                {txt}Root MSE          =    {res} .43323

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}            int_booth{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}feedback_pooled {c |}{col 23}{res}{space 2} .0549336{col 35}{space 2} .0349927{col 46}{space 1}    1.57{col 55}{space 3}0.117{col 63}{space 4}-.0137387{col 76}{space 3} .1236059
{txt}{space 3}no_feedback_pooled {c |}{col 23}{res}{space 2} .0575384{col 35}{space 2} .0345286{col 46}{space 1}    1.67{col 55}{space 3}0.096{col 63}{space 4}-.0102231{col 76}{space 3} .1252999
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .0932846{col 35}{space 2} .0137461{col 46}{space 1}    6.79{col 55}{space 3}0.000{col 63}{space 4} .0663082{col 76}{space 3}  .120261
{txt}{space 15}female {c |}{col 23}{res}{space 2}-.0032071{col 35}{space 2}  .035799{col 46}{space 1}   -0.09{col 55}{space 3}0.929{col 63}{space 4}-.0734619{col 76}{space 3} .0670477
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0029727{col 35}{space 2} .0010627{col 46}{space 1}   -2.80{col 55}{space 3}0.005{col 63}{space 4}-.0050581{col 76}{space 3}-.0008873
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}-.0022212{col 35}{space 2} .0012664{col 46}{space 1}   -1.75{col 55}{space 3}0.080{col 63}{space 4}-.0047064{col 76}{space 3} .0002641
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-.3177553{col 35}{space 2} .0679246{col 46}{space 1}   -4.68{col 55}{space 3}0.000{col 63}{space 4}-.4510558{col 76}{space 3}-.1844549
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2} .0188305{col 35}{space 2} .0155553{col 46}{space 1}    1.21{col 55}{space 3}0.226{col 63}{space 4}-.0116964{col 76}{space 3} .0493574
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2}-.0016043{col 35}{space 2} .0152404{col 46}{space 1}   -0.11{col 55}{space 3}0.916{col 63}{space 4}-.0315132{col 76}{space 3} .0283045
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2} .0014747{col 35}{space 2} .0143174{col 46}{space 1}    0.10{col 55}{space 3}0.918{col 63}{space 4} -.026623{col 76}{space 3} .0295724
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} .0433832{col 35}{space 2} .0399944{col 46}{space 1}    1.08{col 55}{space 3}0.278{col 63}{space 4} -.035105{col 76}{space 3} .1218713
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0006679{col 35}{space 2} .0005174{col 46}{space 1}   -1.29{col 55}{space 3}0.197{col 63}{space 4}-.0016834{col 76}{space 3} .0003476
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2} .1417254{col 35}{space 2} .0456544{col 46}{space 1}    3.10{col 55}{space 3}0.002{col 63}{space 4} .0521296{col 76}{space 3} .2313211
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2} .3773606{col 35}{space 2} .0550127{col 46}{space 1}    6.86{col 55}{space 3}0.000{col 63}{space 4} .2693994{col 76}{space 3} .4853219
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .0288383{col 35}{space 2} .0362848{col 46}{space 1}    0.79{col 55}{space 3}0.427{col 63}{space 4}-.0423699{col 76}{space 3} .1000464
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .0476808{col 35}{space 2} .0377256{col 46}{space 1}    1.26{col 55}{space 3}0.207{col 63}{space 4}-.0263549{col 76}{space 3} .1217165
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .1451241{col 35}{space 2} .0475181{col 46}{space 1}    3.05{col 55}{space 3}0.002{col 63}{space 4} .0518709{col 76}{space 3} .2383773
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2} .0508424{col 35}{space 2}   .04256{col 46}{space 1}    1.19{col 55}{space 3}0.233{col 63}{space 4}-.0326806{col 76}{space 3} .1343654
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .4952958{col 35}{space 2} .0565048{col 46}{space 1}    8.77{col 55}{space 3}0.000{col 63}{space 4} .3844063{col 76}{space 3} .6061853
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   int_booth{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0549336{col 26}{space 2} .0349927{col 37}{space 1}    1.57{col 46}{space 3}0.117{col 54}{space 4}-.0137387{col 67}{space 3} .1236059
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}no_feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   int_booth{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0575384{col 26}{space 2} .0345286{col 37}{space 1}    1.67{col 46}{space 3}0.096{col 54}{space 4}-.0102231{col 67}{space 3} .1252999
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}feedback_pooled - no_feedback_pooled = 0{p_end}

{txt}       F(  1,   945) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9395
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(18, 945)        =  {res}     9.94
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2871
                                                {txt}Root MSE          =    {res}  .2855

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}             int_call{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}feedback_pooled {c |}{col 23}{res}{space 2} .0147373{col 35}{space 2} .0226766{col 46}{space 1}    0.65{col 55}{space 3}0.516{col 63}{space 4}-.0297651{col 76}{space 3} .0592397
{txt}{space 3}no_feedback_pooled {c |}{col 23}{res}{space 2} .0022705{col 35}{space 2} .0228803{col 46}{space 1}    0.10{col 55}{space 3}0.921{col 63}{space 4}-.0426315{col 76}{space 3} .0471726
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .0173012{col 35}{space 2} .0092188{col 46}{space 1}    1.88{col 55}{space 3}0.061{col 63}{space 4}-.0007904{col 76}{space 3} .0353928
{txt}{space 15}female {c |}{col 23}{res}{space 2}-.0137927{col 35}{space 2} .0226953{col 46}{space 1}   -0.61{col 55}{space 3}0.544{col 63}{space 4}-.0583317{col 76}{space 3} .0307463
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0002547{col 35}{space 2} .0006849{col 46}{space 1}   -0.37{col 55}{space 3}0.710{col 63}{space 4}-.0015988{col 76}{space 3} .0010894
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}-.0017746{col 35}{space 2} .0008214{col 46}{space 1}   -2.16{col 55}{space 3}0.031{col 63}{space 4}-.0033866{col 76}{space 3}-.0001625
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-.0347076{col 35}{space 2} .0344542{col 46}{space 1}   -1.01{col 55}{space 3}0.314{col 63}{space 4}-.1023232{col 76}{space 3}  .032908
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2} .0290039{col 35}{space 2} .0136689{col 46}{space 1}    2.12{col 55}{space 3}0.034{col 63}{space 4} .0021789{col 76}{space 3} .0558289
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2} .0010599{col 35}{space 2} .0096926{col 46}{space 1}    0.11{col 55}{space 3}0.913{col 63}{space 4}-.0179616{col 76}{space 3} .0200814
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2} .0029502{col 35}{space 2} .0115016{col 46}{space 1}    0.26{col 55}{space 3}0.798{col 63}{space 4}-.0196215{col 76}{space 3} .0255219
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2}-.0376522{col 35}{space 2} .0249815{col 46}{space 1}   -1.51{col 55}{space 3}0.132{col 63}{space 4}-.0866779{col 76}{space 3} .0113735
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0000487{col 35}{space 2} .0004077{col 46}{space 1}   -0.12{col 55}{space 3}0.905{col 63}{space 4}-.0008488{col 76}{space 3} .0007514
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2}-.0092363{col 35}{space 2} .0259535{col 46}{space 1}   -0.36{col 55}{space 3}0.722{col 63}{space 4}-.0601695{col 76}{space 3} .0416968
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2} .0223289{col 35}{space 2} .0333302{col 46}{space 1}    0.67{col 55}{space 3}0.503{col 63}{space 4}-.0430808{col 76}{space 3} .0877386
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2}-.0076954{col 35}{space 2} .0240592{col 46}{space 1}   -0.32{col 55}{space 3}0.749{col 63}{space 4} -.054911{col 76}{space 3} .0395202
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .4430873{col 35}{space 2} .0391071{col 46}{space 1}   11.33{col 55}{space 3}0.000{col 63}{space 4} .3663404{col 76}{space 3} .5198342
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .0676276{col 35}{space 2} .0203006{col 46}{space 1}    3.33{col 55}{space 3}0.001{col 63}{space 4} .0277882{col 76}{space 3}  .107467
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2} .0609013{col 35}{space 2} .0341816{col 46}{space 1}    1.78{col 55}{space 3}0.075{col 63}{space 4}-.0061793{col 76}{space 3} .1279818
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .0689992{col 35}{space 2} .0360625{col 46}{space 1}    1.91{col 55}{space 3}0.056{col 63}{space 4}-.0017726{col 76}{space 3}  .139771
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    int_call{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0147373{col 26}{space 2} .0226766{col 37}{space 1}    0.65{col 46}{space 3}0.516{col 54}{space 4}-.0297651{col 67}{space 3} .0592397
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}no_feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    int_call{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0022705{col 26}{space 2} .0228803{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.0426315{col 67}{space 3} .0471726
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}feedback_pooled - no_feedback_pooled = 0{p_end}

{txt}       F(  1,   945) ={res}    0.30
{txt}{col 13}Prob > F ={res}    0.5841
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(18, 945)        =  {res}    34.75
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2680
                                                {txt}Root MSE          =    {res} .42734

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}          int_posters{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}feedback_pooled {c |}{col 23}{res}{space 2} .0236498{col 35}{space 2} .0342161{col 46}{space 1}    0.69{col 55}{space 3}0.490{col 63}{space 4}-.0434985{col 76}{space 3} .0907981
{txt}{space 3}no_feedback_pooled {c |}{col 23}{res}{space 2} .0084867{col 35}{space 2} .0337919{col 46}{space 1}    0.25{col 55}{space 3}0.802{col 63}{space 4}-.0578291{col 76}{space 3} .0748024
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2}  .080769{col 35}{space 2} .0135086{col 46}{space 1}    5.98{col 55}{space 3}0.000{col 63}{space 4} .0542587{col 76}{space 3} .1072794
{txt}{space 15}female {c |}{col 23}{res}{space 2}-.0358076{col 35}{space 2} .0356709{col 46}{space 1}   -1.00{col 55}{space 3}0.316{col 63}{space 4}-.1058111{col 76}{space 3} .0341958
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0050768{col 35}{space 2} .0009976{col 46}{space 1}   -5.09{col 55}{space 3}0.000{col 63}{space 4}-.0070345{col 76}{space 3} -.003119
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}-.0043304{col 35}{space 2} .0011861{col 46}{space 1}   -3.65{col 55}{space 3}0.000{col 63}{space 4}-.0066581{col 76}{space 3}-.0020027
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-.2326186{col 35}{space 2} .0613745{col 46}{space 1}   -3.79{col 55}{space 3}0.000{col 63}{space 4}-.3530648{col 76}{space 3}-.1121724
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2} .0015862{col 35}{space 2} .0168533{col 46}{space 1}    0.09{col 55}{space 3}0.925{col 63}{space 4}-.0314881{col 76}{space 3} .0346605
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2}-.0196017{col 35}{space 2} .0152153{col 46}{space 1}   -1.29{col 55}{space 3}0.198{col 63}{space 4}-.0494615{col 76}{space 3}  .010258
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.0063519{col 35}{space 2} .0136066{col 46}{space 1}   -0.47{col 55}{space 3}0.641{col 63}{space 4}-.0330545{col 76}{space 3} .0203508
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2}  .018159{col 35}{space 2} .0379122{col 46}{space 1}    0.48{col 55}{space 3}0.632{col 63}{space 4}-.0562428{col 76}{space 3} .0925607
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0002727{col 35}{space 2} .0004998{col 46}{space 1}   -0.55{col 55}{space 3}0.585{col 63}{space 4}-.0012536{col 76}{space 3} .0007081
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2} .4692531{col 35}{space 2} .0330804{col 46}{space 1}   14.19{col 55}{space 3}0.000{col 63}{space 4} .4043335{col 76}{space 3} .5341727
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2} .0451418{col 35}{space 2} .0514214{col 46}{space 1}    0.88{col 55}{space 3}0.380{col 63}{space 4}-.0557716{col 76}{space 3} .1460551
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .0451532{col 35}{space 2}   .03571{col 46}{space 1}    1.26{col 55}{space 3}0.206{col 63}{space 4}-.0249268{col 76}{space 3} .1152332
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2}-.0069437{col 35}{space 2} .0405883{col 46}{space 1}   -0.17{col 55}{space 3}0.864{col 63}{space 4}-.0865973{col 76}{space 3} .0727099
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .0364598{col 35}{space 2}  .044492{col 46}{space 1}    0.82{col 55}{space 3}0.413{col 63}{space 4}-.0508547{col 76}{space 3} .1237743
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2} .0043794{col 35}{space 2} .0440426{col 46}{space 1}    0.10{col 55}{space 3}0.921{col 63}{space 4}-.0820532{col 76}{space 3} .0908119
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .5319277{col 35}{space 2}  .055687{col 46}{space 1}    9.55{col 55}{space 3}0.000{col 63}{space 4} .4226433{col 76}{space 3} .6412122
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} int_posters{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0236498{col 26}{space 2} .0342161{col 37}{space 1}    0.69{col 46}{space 3}0.490{col 54}{space 4}-.0434985{col 67}{space 3} .0907981
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}no_feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} int_posters{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0084867{col 26}{space 2} .0337919{col 37}{space 1}    0.25{col 46}{space 3}0.802{col 54}{space 4}-.0578291{col 67}{space 3} .0748024
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}feedback_pooled - no_feedback_pooled = 0{p_end}

{txt}       F(  1,   945) ={res}    0.19
{txt}{col 13}Prob > F ={res}    0.6637
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(18, 945)        =  {res}    19.17
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2340
                                                {txt}Root MSE          =    {res} .38892

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}          int_friends{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}feedback_pooled {c |}{col 23}{res}{space 2} .0522217{col 35}{space 2} .0315479{col 46}{space 1}    1.66{col 55}{space 3}0.098{col 63}{space 4}-.0096903{col 76}{space 3} .1141337
{txt}{space 3}no_feedback_pooled {c |}{col 23}{res}{space 2} .0516779{col 35}{space 2} .0313661{col 46}{space 1}    1.65{col 55}{space 3}0.100{col 63}{space 4}-.0098773{col 76}{space 3} .1132331
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .0812738{col 35}{space 2} .0137479{col 46}{space 1}    5.91{col 55}{space 3}0.000{col 63}{space 4} .0542938{col 76}{space 3} .1082538
{txt}{space 15}female {c |}{col 23}{res}{space 2} .0031381{col 35}{space 2} .0311768{col 46}{space 1}    0.10{col 55}{space 3}0.920{col 63}{space 4}-.0580457{col 76}{space 3} .0643219
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0002247{col 35}{space 2} .0009716{col 46}{space 1}   -0.23{col 55}{space 3}0.817{col 63}{space 4}-.0021315{col 76}{space 3} .0016822
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}  .001877{col 35}{space 2} .0011197{col 46}{space 1}    1.68{col 55}{space 3}0.094{col 63}{space 4}-.0003203{col 76}{space 3} .0040744
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-.4550105{col 35}{space 2} .0633446{col 46}{space 1}   -7.18{col 55}{space 3}0.000{col 63}{space 4}-.5793229{col 76}{space 3}-.3306981
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2} .0334272{col 35}{space 2} .0177487{col 46}{space 1}    1.88{col 55}{space 3}0.060{col 63}{space 4}-.0014042{col 76}{space 3} .0682587
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2} -.020323{col 35}{space 2} .0135402{col 46}{space 1}   -1.50{col 55}{space 3}0.134{col 63}{space 4}-.0468954{col 76}{space 3} .0062494
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.0356021{col 35}{space 2} .0131287{col 46}{space 1}   -2.71{col 55}{space 3}0.007{col 63}{space 4}-.0613669{col 76}{space 3}-.0098373
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2}-.0140487{col 35}{space 2} .0350729{col 46}{space 1}   -0.40{col 55}{space 3}0.689{col 63}{space 4}-.0828785{col 76}{space 3} .0547812
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2} -.000413{col 35}{space 2} .0004434{col 46}{space 1}   -0.93{col 55}{space 3}0.352{col 63}{space 4}-.0012832{col 76}{space 3} .0004572
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2}-.0420619{col 35}{space 2} .0384308{col 46}{space 1}   -1.09{col 55}{space 3}0.274{col 63}{space 4}-.1174816{col 76}{space 3} .0333577
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2}-.1017715{col 35}{space 2} .0458082{col 46}{space 1}   -2.22{col 55}{space 3}0.027{col 63}{space 4} -.191669{col 76}{space 3} -.011874
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .1129735{col 35}{space 2} .0324033{col 46}{space 1}    3.49{col 55}{space 3}0.001{col 63}{space 4} .0493827{col 76}{space 3} .1765643
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .0439979{col 35}{space 2} .0341699{col 46}{space 1}    1.29{col 55}{space 3}0.198{col 63}{space 4}-.0230598{col 76}{space 3} .1110556
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .5125037{col 35}{space 2}  .046728{col 46}{space 1}   10.97{col 55}{space 3}0.000{col 63}{space 4} .4208012{col 76}{space 3} .6042063
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2}-.0072275{col 35}{space 2} .0371781{col 46}{space 1}   -0.19{col 55}{space 3}0.846{col 63}{space 4}-.0801888{col 76}{space 3} .0657337
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .7454211{col 35}{space 2} .0501689{col 46}{space 1}   14.86{col 55}{space 3}0.000{col 63}{space 4} .6469658{col 76}{space 3} .8438765
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} int_friends{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0522217{col 26}{space 2} .0315479{col 37}{space 1}    1.66{col 46}{space 3}0.098{col 54}{space 4}-.0096903{col 67}{space 3} .1141337
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}no_feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} int_friends{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0516779{col 26}{space 2} .0313661{col 37}{space 1}    1.65{col 46}{space 3}0.100{col 54}{space 4}-.0098773{col 67}{space 3} .1132331
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}feedback_pooled - no_feedback_pooled = 0{p_end}

{txt}       F(  1,   945) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9856
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(18, 945)        =  {res}    74.94
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4166
                                                {txt}Root MSE          =    {res} .38573

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}           int_online{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}feedback_pooled {c |}{col 23}{res}{space 2} .0175075{col 35}{space 2} .0317084{col 46}{space 1}    0.55{col 55}{space 3}0.581{col 63}{space 4}-.0447195{col 76}{space 3} .0797344
{txt}{space 3}no_feedback_pooled {c |}{col 23}{res}{space 2} -.005477{col 35}{space 2} .0296755{col 46}{space 1}   -0.18{col 55}{space 3}0.854{col 63}{space 4}-.0637145{col 76}{space 3} .0527606
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .0247499{col 35}{space 2} .0126742{col 46}{space 1}    1.95{col 55}{space 3}0.051{col 63}{space 4}-.0001229{col 76}{space 3} .0496227
{txt}{space 15}female {c |}{col 23}{res}{space 2}-.0057251{col 35}{space 2} .0318792{col 46}{space 1}   -0.18{col 55}{space 3}0.858{col 63}{space 4}-.0682872{col 76}{space 3} .0568371
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0040814{col 35}{space 2} .0009847{col 46}{space 1}   -4.14{col 55}{space 3}0.000{col 63}{space 4} -.006014{col 76}{space 3}-.0021489
{txt}{space 9}member_years {c |}{col 23}{res}{space 2} .0002512{col 35}{space 2} .0010269{col 46}{space 1}    0.24{col 55}{space 3}0.807{col 63}{space 4}-.0017641{col 76}{space 3} .0022665
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-.2902273{col 35}{space 2} .0594547{col 46}{space 1}   -4.88{col 55}{space 3}0.000{col 63}{space 4}-.4069059{col 76}{space 3}-.1735488
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2}  .038938{col 35}{space 2} .0160884{col 46}{space 1}    2.42{col 55}{space 3}0.016{col 63}{space 4} .0073649{col 76}{space 3} .0705112
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2} .0110721{col 35}{space 2} .0138899{col 46}{space 1}    0.80{col 55}{space 3}0.426{col 63}{space 4}-.0161866{col 76}{space 3} .0383308
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.0166092{col 35}{space 2} .0126243{col 46}{space 1}   -1.32{col 55}{space 3}0.189{col 63}{space 4}-.0413841{col 76}{space 3} .0081657
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2}-.0318428{col 35}{space 2}  .029735{col 46}{space 1}   -1.07{col 55}{space 3}0.284{col 63}{space 4}-.0901971{col 76}{space 3} .0265114
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0009989{col 35}{space 2} .0004595{col 46}{space 1}   -2.17{col 55}{space 3}0.030{col 63}{space 4}-.0019007{col 76}{space 3}-.0000971
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2} .0182999{col 35}{space 2}  .035016{col 46}{space 1}    0.52{col 55}{space 3}0.601{col 63}{space 4}-.0504182{col 76}{space 3}  .087018
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2}-.1027771{col 35}{space 2} .0455082{col 46}{space 1}   -2.26{col 55}{space 3}0.024{col 63}{space 4}-.1920859{col 76}{space 3}-.0134683
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .6731658{col 35}{space 2} .0297118{col 46}{space 1}   22.66{col 55}{space 3}0.000{col 63}{space 4} .6148571{col 76}{space 3} .7314745
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .0045678{col 35}{space 2} .0347603{col 46}{space 1}    0.13{col 55}{space 3}0.895{col 63}{space 4}-.0636484{col 76}{space 3} .0727841
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .0655217{col 35}{space 2}   .03264{col 46}{space 1}    2.01{col 55}{space 3}0.045{col 63}{space 4} .0014664{col 76}{space 3}  .129577
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2}-.0184784{col 35}{space 2}  .034061{col 46}{space 1}   -0.54{col 55}{space 3}0.588{col 63}{space 4}-.0853223{col 76}{space 3} .0483655
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .6547465{col 35}{space 2} .0547682{col 46}{space 1}   11.95{col 55}{space 3}0.000{col 63}{space 4}  .547265{col 76}{space 3} .7622279
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  int_online{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0175075{col 26}{space 2} .0317084{col 37}{space 1}    0.55{col 46}{space 3}0.581{col 54}{space 4}-.0447195{col 67}{space 3} .0797344
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}no_feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  int_online{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} -.005477{col 26}{space 2} .0296755{col 37}{space 1}   -0.18{col 46}{space 3}0.854{col 54}{space 4}-.0637145{col 67}{space 3} .0527606
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}feedback_pooled - no_feedback_pooled = 0{p_end}

{txt}       F(  1,   945) ={res}    0.56
{txt}{col 13}Prob > F ={res}    0.4553
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(18, 945)        =  {res}    29.88
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2732
                                                {txt}Root MSE          =    {res} .40643

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}       int_doortodoor{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}feedback_pooled {c |}{col 23}{res}{space 2} .0151228{col 35}{space 2} .0321958{col 46}{space 1}    0.47{col 55}{space 3}0.639{col 63}{space 4}-.0480607{col 76}{space 3} .0783064
{txt}{space 3}no_feedback_pooled {c |}{col 23}{res}{space 2} .0248368{col 35}{space 2} .0321094{col 46}{space 1}    0.77{col 55}{space 3}0.439{col 63}{space 4}-.0381772{col 76}{space 3} .0878509
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .0795834{col 35}{space 2} .0125875{col 46}{space 1}    6.32{col 55}{space 3}0.000{col 63}{space 4} .0548806{col 76}{space 3} .1042861
{txt}{space 15}female {c |}{col 23}{res}{space 2} .0011797{col 35}{space 2} .0334972{col 46}{space 1}    0.04{col 55}{space 3}0.972{col 63}{space 4}-.0645577{col 76}{space 3} .0669172
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0052947{col 35}{space 2} .0010204{col 46}{space 1}   -5.19{col 55}{space 3}0.000{col 63}{space 4}-.0072973{col 76}{space 3}-.0032921
{txt}{space 9}member_years {c |}{col 23}{res}{space 2} -.002525{col 35}{space 2}   .00111{col 46}{space 1}   -2.27{col 55}{space 3}0.023{col 63}{space 4}-.0047034{col 76}{space 3}-.0003466
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-.1774458{col 35}{space 2} .0554676{col 46}{space 1}   -3.20{col 55}{space 3}0.001{col 63}{space 4}-.2862998{col 76}{space 3}-.0685919
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2}-.0070195{col 35}{space 2}  .013642{col 46}{space 1}   -0.51{col 55}{space 3}0.607{col 63}{space 4}-.0337915{col 76}{space 3} .0197526
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2}-.0139617{col 35}{space 2} .0126664{col 46}{space 1}   -1.10{col 55}{space 3}0.271{col 63}{space 4}-.0388192{col 76}{space 3} .0108959
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2} .0086856{col 35}{space 2} .0128443{col 46}{space 1}    0.68{col 55}{space 3}0.499{col 63}{space 4}-.0165211{col 76}{space 3} .0338923
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} .3447394{col 35}{space 2} .0326273{col 46}{space 1}   10.57{col 55}{space 3}0.000{col 63}{space 4} .2807091{col 76}{space 3} .4087698
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}   .00063{col 35}{space 2} .0005419{col 46}{space 1}    1.16{col 55}{space 3}0.245{col 63}{space 4}-.0004334{col 76}{space 3} .0016935
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2}-.0462873{col 35}{space 2}  .038292{col 46}{space 1}   -1.21{col 55}{space 3}0.227{col 63}{space 4}-.1214344{col 76}{space 3} .0288598
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2} .0943731{col 35}{space 2} .0416743{col 46}{space 1}    2.26{col 55}{space 3}0.024{col 63}{space 4} .0125883{col 76}{space 3} .1761579
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .0168274{col 35}{space 2} .0342697{col 46}{space 1}    0.49{col 55}{space 3}0.624{col 63}{space 4}-.0504262{col 76}{space 3} .0840809
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .0953042{col 35}{space 2} .0414939{col 46}{space 1}    2.30{col 55}{space 3}0.022{col 63}{space 4} .0138735{col 76}{space 3}  .176735
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .0564068{col 35}{space 2} .0386636{col 46}{space 1}    1.46{col 55}{space 3}0.145{col 63}{space 4}-.0194697{col 76}{space 3} .1322832
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2} .0207407{col 35}{space 2}  .039681{col 46}{space 1}    0.52{col 55}{space 3}0.601{col 63}{space 4}-.0571325{col 76}{space 3} .0986138
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .4554484{col 35}{space 2} .0533927{col 46}{space 1}    8.53{col 55}{space 3}0.000{col 63}{space 4} .3506663{col 76}{space 3} .5602304
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}int_doorto~r{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0151228{col 26}{space 2} .0321958{col 37}{space 1}    0.47{col 46}{space 3}0.639{col 54}{space 4}-.0480607{col 67}{space 3} .0783064
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}no_feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}int_doorto~r{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0248368{col 26}{space 2} .0321094{col 37}{space 1}    0.77{col 46}{space 3}0.439{col 54}{space 4}-.0381772{col 67}{space 3} .0878509
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}feedback_pooled - no_feedback_pooled = 0{p_end}

{txt}       F(  1,   945) ={res}    0.09
{txt}{col 13}Prob > F ={res}    0.7673
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       961
                                                {txt}F(18, 942)        =  {res}     8.90
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1865
                                                {txt}Root MSE          =    {res} 5.1857

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}  int_days_doortodoor{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}feedback_pooled {c |}{col 23}{res}{space 2}  .084758{col 35}{space 2} .3923968{col 46}{space 1}    0.22{col 55}{space 3}0.829{col 63}{space 4} -.685315{col 76}{space 3}  .854831
{txt}{space 3}no_feedback_pooled {c |}{col 23}{res}{space 2} .5994871{col 35}{space 2} .4170635{col 46}{space 1}    1.44{col 55}{space 3}0.151{col 63}{space 4}-.2189939{col 76}{space 3} 1.417968
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .1282113{col 35}{space 2} .1822597{col 46}{space 1}    0.70{col 55}{space 3}0.482{col 63}{space 4}-.2294707{col 76}{space 3} .4858934
{txt}{space 15}female {c |}{col 23}{res}{space 2}-.1531638{col 35}{space 2} .4316421{col 46}{space 1}   -0.35{col 55}{space 3}0.723{col 63}{space 4}-1.000255{col 76}{space 3} .6939275
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0457228{col 35}{space 2} .0127915{col 46}{space 1}   -3.57{col 55}{space 3}0.000{col 63}{space 4} -.070826{col 76}{space 3}-.0206196
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}-.0397234{col 35}{space 2} .0143936{col 46}{space 1}   -2.76{col 55}{space 3}0.006{col 63}{space 4}-.0679707{col 76}{space 3}-.0114761
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-.8695619{col 35}{space 2} .6834703{col 46}{space 1}   -1.27{col 55}{space 3}0.204{col 63}{space 4}-2.210862{col 76}{space 3} .4717387
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2}  .067917{col 35}{space 2} .1732991{col 46}{space 1}    0.39{col 55}{space 3}0.695{col 63}{space 4}-.2721801{col 76}{space 3} .4080141
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2}-.2761796{col 35}{space 2} .1536613{col 46}{space 1}   -1.80{col 55}{space 3}0.073{col 63}{space 4}-.5777377{col 76}{space 3} .0253785
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.0783188{col 35}{space 2} .1925629{col 46}{space 1}   -0.41{col 55}{space 3}0.684{col 63}{space 4}-.4562207{col 76}{space 3}  .299583
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} 1.597551{col 35}{space 2} .3539677{col 46}{space 1}    4.51{col 55}{space 3}0.000{col 63}{space 4} .9028944{col 76}{space 3} 2.292208
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2} .0427862{col 35}{space 2} .0119675{col 46}{space 1}    3.58{col 55}{space 3}0.000{col 63}{space 4} .0193002{col 76}{space 3} .0662722
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2}-.4273082{col 35}{space 2} .4540154{col 46}{space 1}   -0.94{col 55}{space 3}0.347{col 63}{space 4}-1.318307{col 76}{space 3} .4636905
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2}  .571716{col 35}{space 2}  .522186{col 46}{space 1}    1.09{col 55}{space 3}0.274{col 63}{space 4}-.4530664{col 76}{space 3} 1.596498
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .5883431{col 35}{space 2} .3725239{col 46}{space 1}    1.58{col 55}{space 3}0.115{col 63}{space 4}-.1427297{col 76}{space 3} 1.319416
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} 1.238633{col 35}{space 2} .6026266{col 46}{space 1}    2.06{col 55}{space 3}0.040{col 63}{space 4} .0559871{col 76}{space 3} 2.421279
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .3388655{col 35}{space 2} .3854224{col 46}{space 1}    0.88{col 55}{space 3}0.380{col 63}{space 4}-.4175204{col 76}{space 3} 1.095251
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2} .3647709{col 35}{space 2} .4909342{col 46}{space 1}    0.74{col 55}{space 3}0.458{col 63}{space 4}-.5986804{col 76}{space 3} 1.328222
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 3.496725{col 35}{space 2} .6047702{col 46}{space 1}    5.78{col 55}{space 3}0.000{col 63}{space 4} 2.309872{col 76}{space 3} 4.683578
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}int_days_d~r{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .084758{col 26}{space 2} .3923968{col 37}{space 1}    0.22{col 46}{space 3}0.829{col 54}{space 4} -.685315{col 67}{space 3}  .854831
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}no_feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}int_days_d~r{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .5994871{col 26}{space 2} .4170635{col 37}{space 1}    1.44{col 46}{space 3}0.151{col 54}{space 4}-.2189939{col 67}{space 3} 1.417968
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}feedback_pooled - no_feedback_pooled = 0{p_end}

{txt}       F(  1,   942) ={res}    1.43
{txt}{col 13}Prob > F ={res}    0.2313
{txt}
{com}.         
.         
.         
.         
.          
. loc rowlabels " "\textbf{c -(}Panel A: Main effects{c )-} " " " "Any voice treatment" " " " " "\hline " " \textbf{c -(}Panel B: Type of voice{c )-} \\ " " Instrumental" " " " "  "Intrinsic" " " " "  "\hline p(Instrumental = Intrinsic)" " \hline"  "\textbf{c -(}Panel C: Feedback announcement{c )-} \\ " " " "Feedback announcement" " " " "  "No feedback announcement" " " " "  "\hline p(Feedback = No feedback)" " \hline Control mean" "Number of Observations" "Controls" "
{txt}
{com}. 
. loc rowstats ""
{txt}
{com}. 
. forval i = 1/26 {c -(}
{txt}  2{com}.     loc rowstats "`rowstats' thisstat`i'"
{txt}  3{com}. {c )-}
{txt}
{com}. 
. 
. 
. esttab col* using "$output/treat_intentions_pooled_3panel.tex", replace cells(none) booktabs nonotes  compress alignment(c) nogap noobs nobaselevels label stats(`rowstats', labels(`rowlabels')) ///
>   mtitle("\# activities"  "Campaign booth" "Phone canvassing"  "Stick posters" "Convince friends" "Online campaigning" "Any canvassing"  "\# days canvassing" )
{res}{txt}(output written to {browse  `"/Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/output/treat_intentions_pooled_3panel.tex"'})

{com}. 
. 
. 
{txt}end of do-file

{com}. do "$scripts/tables/Table_A10_corr_doors_int_bytreat.do"
{txt}
{com}. 
. 
. use "$data/clean/clean_main_complete.dta" , replace
{txt}
{com}. 
.                    
. loc experiments "any_doors doors_wins "
{txt}
{com}. 
.                    
.                    
. preserve
{txt}
{com}. 
. clear all
{res}{txt}
{com}. eststo clear
{txt}
{com}. estimates drop _all
{txt}
{com}. 
. set obs 10
{txt}{p}
number of observations (_N)  was 0,
now 10
{p_end}

{com}. qui gen x = 1
{txt}
{com}. qui gen y = 1
{txt}
{com}. 
. loc columns = 0
{txt}
{com}. 
. foreach choice in `experiments' `experiments'{c -(}
{txt}  2{com}. 
.     loc ++columns
{txt}  3{com}.     qui eststo col`columns': reg x y
{txt}  4{com}. 
. {c )-}
{txt}
{com}. 
. restore
{txt}
{com}. 
. 
. /* Statistics */
. 
. loc colnum = 1
{txt}
{com}. loc colnames ""
{txt}
{com}. 
. 
. foreach choice in `experiments' {c -(}
{txt}  2{com}. 
. /* Statistics */
. 
. 
. 
.  
.  
. ********************************Panel A*****************************************
.         
.  xi: reg `choice'  int_doortodoor  if control==0 , vce(r) // 
{txt}  3{com}.    
.    
.    
.     sigstar int_doortodoor , prec(3)
{txt}  4{com}.     estadd loc thisstat3 = "`r(bstar)'": col`colnum'
{txt}  5{com}.     estadd loc thisstat4 = "`r(sestar)'": col`colnum'
{txt}  6{com}.    
.                  
.         qui sum `choice' if control==0
{txt}  7{com}.         estadd loc thisstat6 = string(`r(mean)', "%9.2f"): col`colnum'
{txt}  8{com}.         
.         qui sum `choice' if control==0
{txt}  9{com}.     estadd loc thisstat7 = string(`r(N)', "%9.0f"): col`colnum'
{txt} 10{com}.         
.         
.  xi: reg `choice'  int_doortodoor  if control==1, vce(r) // 
{txt} 11{com}.    
. 
.       loc ++colnum
{txt} 12{com}.    
.     sigstar int_doortodoor  , prec(3)
{txt} 13{com}.     estadd loc thisstat3 = "`r(bstar)'": col`colnum'
{txt} 14{com}.     estadd loc thisstat4 = "`r(sestar)'": col`colnum'
{txt} 15{com}.    
.                  
.         qui sum `choice' if control==1
{txt} 16{com}.         estadd loc thisstat6 = string(`r(mean)', "%9.2f"): col`colnum'
{txt} 17{com}.         
.         qui sum `choice' if control==1
{txt} 18{com}.     estadd loc thisstat7 = string(`r(N)', "%9.0f"): col`colnum' 
{txt} 19{com}.         
. 
.  xi: reg `choice'  1.int_doortodoor##1.control   , vce(r) // 
{txt} 20{com}.  
.  test 1.int_doortodoor#1.control 
{txt} 21{com}.         estadd loc thisstat8 = string(`r(p)', "%9.2f"): col`colnum'
{txt} 22{com}.         
.     loc ++colnum
{txt} 23{com}. 
.         {c )-}

{txt}Linear regression                               Number of obs     = {res}       634
                                                {txt}F(1, 632)         =  {res}    18.06
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0484
                                                {txt}Root MSE          =    {res} .16658

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}     any_doors{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
int_doortodoor {c |}{col 16}{res}{space 2} .0786539{col 28}{space 2} .0185088{col 39}{space 1}    4.25{col 48}{space 3}0.000{col 56}{space 4} .0423078{col 69}{space 3}     .115
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .0024272{col 28}{space 2} .0024281{col 39}{space 1}    1.00{col 48}{space 3}0.318{col 56}{space 4}-.0023409{col 69}{space 3} .0071952
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} int_doortodoor = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0786539{col 26}{space 2} .0185088{col 37}{space 1}    4.25{col 46}{space 3}0.000{col 54}{space 4} .0423078{col 67}{space 3}     .115
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Linear regression                               Number of obs     = {res}       330
                                                {txt}F(1, 328)         =  {res}     1.00
                                                {txt}Prob > F          = {res}    0.3171
                                                {txt}R-squared         = {res}    0.0069
                                                {txt}Root MSE          =    {res} .05494

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}     any_doors{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
int_doortodoor {c |}{col 16}{res}{space 2}  .009901{col 28}{space 2} .0098818{col 39}{space 1}    1.00{col 48}{space 3}0.317{col 56}{space 4}-.0095388{col 69}{space 3} .0293408
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-1.99e-17{col 28}{space 2}        .{col 39}{space 1}       .{col 48}{space 3}    .{col 56}{space 4}        .{col 69}{space 3}        .
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} int_doortodoor = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .009901{col 26}{space 2} .0098818{col 37}{space 1}    1.00{col 46}{space 3}0.317{col 54}{space 4}-.0095388{col 67}{space 3} .0293408
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Linear regression                               Number of obs     = {res}       964
                                                {txt}{help j_robustsingular:F(2, 960) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0540
                                                {txt}Root MSE          =    {res} .13893

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}             any_doors{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.int_doortodoor {c |}{col 24}{res}{space 2} .0786539{col 36}{space 2}  .018518{col 47}{space 1}    4.25{col 56}{space 3}0.000{col 64}{space 4} .0423134{col 77}{space 3} .1149943
{txt}{space 13}1.control {c |}{col 24}{res}{space 2}-.0024272{col 36}{space 2} .0024293{col 47}{space 1}   -1.00{col 56}{space 3}0.318{col 64}{space 4}-.0071945{col 77}{space 3} .0023401
{txt}{space 22} {c |}
int_doortodoor#control {c |}
{space 18}1 1  {c |}{col 24}{res}{space 2}-.0687529{col 36}{space 2} .0209852{col 47}{space 1}   -3.28{col 56}{space 3}0.001{col 64}{space 4}-.1099351{col 77}{space 3}-.0275707
{txt}{space 22} {c |}
{space 17}_cons {c |}{col 24}{res}{space 2} .0024272{col 36}{space 2} .0024293{col 47}{space 1}    1.00{col 56}{space 3}0.318{col 64}{space 4}-.0023401{col 77}{space 3} .0071945
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} 1.int_doortodoor#1.control = 0{p_end}

{txt}       F(  1,   960) ={res}   10.73
{txt}{col 13}Prob > F ={res}    0.0011

{txt}Linear regression                               Number of obs     = {res}       634
                                                {txt}F(1, 632)         =  {res}    15.28
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.0429
                                                {txt}Root MSE          =    {res} 8.7725

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}    doors_wins{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
int_doortodoor {c |}{col 16}{res}{space 2} 3.889465{col 28}{space 2} .9949716{col 39}{space 1}    3.91{col 48}{space 3}0.000{col 56}{space 4} 1.935614{col 69}{space 3} 5.843315
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .0024272{col 28}{space 2} .0024281{col 39}{space 1}    1.00{col 48}{space 3}0.318{col 56}{space 4}-.0023409{col 69}{space 3} .0071952
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} int_doortodoor = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  doors_wins{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 3.889465{col 26}{space 2} .9949716{col 37}{space 1}    3.91{col 46}{space 3}0.000{col 54}{space 4} 1.935614{col 67}{space 3} 5.843315
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Linear regression                               Number of obs     = {res}       330
                                                {txt}F(1, 328)         =  {res}     1.00
                                                {txt}Prob > F          = {res}    0.3171
                                                {txt}R-squared         = {res}    0.0069
                                                {txt}Root MSE          =    {res} 1.7581

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}    doors_wins{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
int_doortodoor {c |}{col 16}{res}{space 2} .3168317{col 28}{space 2}  .316219{col 39}{space 1}    1.00{col 48}{space 3}0.317{col 56}{space 4}-.3052416{col 69}{space 3} .9389049
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-6.38e-16{col 28}{space 2}        .{col 39}{space 1}       .{col 48}{space 3}    .{col 56}{space 4}        .{col 69}{space 3}        .
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} int_doortodoor = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  doors_wins{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .3168317{col 26}{space 2}  .316219{col 37}{space 1}    1.00{col 46}{space 3}0.317{col 54}{space 4}-.3052416{col 67}{space 3} .9389049
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Linear regression                               Number of obs     = {res}       964
                                                {txt}{help j_robustsingular:F(2, 960) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0486
                                                {txt}Root MSE          =    {res} 7.1916

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}            doors_wins{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.int_doortodoor {c |}{col 24}{res}{space 2} 3.889465{col 36}{space 2} .9954684{col 47}{space 1}    3.91{col 56}{space 3}0.000{col 64}{space 4} 1.935919{col 77}{space 3}  5.84301
{txt}{space 13}1.control {c |}{col 24}{res}{space 2}-.0024272{col 36}{space 2} .0024293{col 47}{space 1}   -1.00{col 56}{space 3}0.318{col 64}{space 4}-.0071945{col 77}{space 3} .0023401
{txt}{space 22} {c |}
int_doortodoor#control {c |}
{space 18}1 1  {c |}{col 24}{res}{space 2}-3.572633{col 36}{space 2} 1.044395{col 47}{space 1}   -3.42{col 56}{space 3}0.001{col 64}{space 4}-5.622193{col 77}{space 3}-1.523073
{txt}{space 22} {c |}
{space 17}_cons {c |}{col 24}{res}{space 2} .0024272{col 36}{space 2} .0024293{col 47}{space 1}    1.00{col 56}{space 3}0.318{col 64}{space 4}-.0023401{col 77}{space 3} .0071945
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} 1.int_doortodoor#1.control = 0{p_end}

{txt}       F(  1,   960) ={res}   11.70
{txt}{col 13}Prob > F ={res}    0.0007
{txt}
{com}.         
. 
.          
. 
. loc rowlabels " " " "  " "Intention: Any canvassing" " " "  "  "\hline Group outcome mean" "Number of Observations" "p-value(control=treatment)" "
{txt}
{com}. 
. loc rowstats ""
{txt}
{com}. 
. forval i = 1/8 {c -(}
{txt}  2{com}.     loc rowstats "`rowstats' thisstat`i'"
{txt}  3{com}. {c )-}
{txt}
{com}. 
. 
. 
. esttab col* using "$output/corr_doors_int_bytreat.tex", replace cells(none) booktabs nonotes compress alignment(c)  nogap noobs nobaselevels label stats(`rowstats', labels(`rowlabels')) ///
>   mgroups("Any door"  "Doors (wins)",  pattern(1 0 1 0 ) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}))   mtitle("Treatment" "Control" "Treatment" "Control" )
{res}{txt}(output written to {browse  `"/Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/output/corr_doors_int_bytreat.tex"'})

{com}. 
. 
. 
{txt}end of do-file

{com}. do "$scripts/tables/Table_A11_treat_fs_pooled_3panel.do"
{txt}
{com}. 
. 
. use "$data/clean/clean_main_complete.dta" , replace
{txt}
{com}. 
. 
. 
. loc experiments "z_score_fs  z_fs_engagement z_fs_voice z_fs_connected z_fs_interest"
{txt}
{com}. 
. 
.                    
.                    
.                    
. preserve
{txt}
{com}. 
. clear all
{res}{txt}
{com}. eststo clear
{txt}
{com}. estimates drop _all
{txt}
{com}. 
. set obs 10
{txt}{p}
number of observations (_N)  was 0,
now 10
{p_end}

{com}. qui gen x = 1
{txt}
{com}. qui gen y = 1
{txt}
{com}. 
. loc columns = 0
{txt}
{com}. 
. foreach choice in `experiments'  {c -(}
{txt}  2{com}. 
.     loc ++columns
{txt}  3{com}.     qui eststo col`columns': reg x y
{txt}  4{com}. 
. {c )-}
{txt}
{com}. 
. restore
{txt}
{com}. 
. 
. /* Statistics */
. 
. loc colnum = 1
{txt}
{com}. loc colnames ""
{txt}
{com}. 
. 
. foreach choice in `experiments' {c -(}
{txt}  2{com}. 
. /* Statistics */
. 
.  
. ********************************Panel A*****************************************
.         
. 
.         
.  xi: reg `choice' treat_any  $control  , vce(r) // 
{txt}  3{com}.    
.    
.    
.     sigstar treat_any   , prec(3)
{txt}  4{com}.     estadd loc thisstat3 = "`r(bstar)'": col`colnum'
{txt}  5{com}.     estadd loc thisstat4 = "`r(sestar)'": col`colnum'
{txt}  6{com}.    
. 
.         
.         
.     loc ++colnum
{txt}  7{com}.     loc colnames "`colnames' `"`: var la `choice''"'"   
{txt}  8{com}.         
. 
.         {c )-}
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(17, 937)        =  {res}    63.25
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.5479
                                                {txt}Root MSE          =    {res} .67511

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}           z_score_fs{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}treat_any {c |}{col 23}{res}{space 2} .0609291{col 35}{space 2} .0491524{col 46}{space 1}    1.24{col 55}{space 3}0.215{col 63}{space 4}-.0355324{col 76}{space 3} .1573907
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .6575331{col 35}{space 2} .0257257{col 46}{space 1}   25.56{col 55}{space 3}0.000{col 63}{space 4} .6070465{col 76}{space 3} .7080197
{txt}{space 15}female {c |}{col 23}{res}{space 2}-.0607531{col 35}{space 2} .0559941{col 46}{space 1}   -1.08{col 55}{space 3}0.278{col 63}{space 4}-.1706415{col 76}{space 3} .0491353
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0019738{col 35}{space 2}  .001786{col 46}{space 1}   -1.11{col 55}{space 3}0.269{col 63}{space 4}-.0054789{col 76}{space 3} .0015313
{txt}{space 9}member_years {c |}{col 23}{res}{space 2} .0003765{col 35}{space 2}  .002037{col 46}{space 1}    0.18{col 55}{space 3}0.853{col 63}{space 4}-.0036211{col 76}{space 3}  .004374
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-.2322146{col 35}{space 2} .1245866{col 46}{space 1}   -1.86{col 55}{space 3}0.063{col 63}{space 4}-.4767156{col 76}{space 3} .0122864
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2} .1113247{col 35}{space 2} .0454677{col 46}{space 1}    2.45{col 55}{space 3}0.015{col 63}{space 4} .0220944{col 76}{space 3} .2005551
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2} .0356927{col 35}{space 2} .0282675{col 46}{space 1}    1.26{col 55}{space 3}0.207{col 63}{space 4}-.0197822{col 76}{space 3} .0911677
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.0820172{col 35}{space 2} .0279165{col 46}{space 1}   -2.94{col 55}{space 3}0.003{col 63}{space 4}-.1368032{col 76}{space 3}-.0272311
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2}-.0163793{col 35}{space 2} .0616341{col 46}{space 1}   -0.27{col 55}{space 3}0.790{col 63}{space 4}-.1373361{col 76}{space 3} .1045776
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0016268{col 35}{space 2} .0006938{col 46}{space 1}   -2.34{col 55}{space 3}0.019{col 63}{space 4}-.0029882{col 76}{space 3}-.0002653
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2} .0308873{col 35}{space 2} .0665295{col 46}{space 1}    0.46{col 55}{space 3}0.643{col 63}{space 4}-.0996767{col 76}{space 3} .1614514
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2} .0082982{col 35}{space 2} .1008528{col 46}{space 1}    0.08{col 55}{space 3}0.934{col 63}{space 4}-.1896253{col 76}{space 3} .2062216
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .0385101{col 35}{space 2} .0558442{col 46}{space 1}    0.69{col 55}{space 3}0.491{col 63}{space 4}-.0710841{col 76}{space 3} .1481043
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .0652954{col 35}{space 2} .0601901{col 46}{space 1}    1.08{col 55}{space 3}0.278{col 63}{space 4}-.0528275{col 76}{space 3} .1834183
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .0759404{col 35}{space 2} .0778418{col 46}{space 1}    0.98{col 55}{space 3}0.330{col 63}{space 4}-.0768241{col 76}{space 3} .2287049
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2} .0270449{col 35}{space 2} .0626246{col 46}{space 1}    0.43{col 55}{space 3}0.666{col 63}{space 4}-.0958557{col 76}{space 3} .1499455
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .2019404{col 35}{space 2}  .090955{col 46}{space 1}    2.22{col 55}{space 3}0.027{col 63}{space 4} .0234414{col 76}{space 3} .3804395
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_any = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0609291{col 26}{space 2} .0491524{col 37}{space 1}    1.24{col 46}{space 3}0.215{col 54}{space 4}-.0355324{col 67}{space 3} .1573907
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(17, 937)        =  {res}    32.81
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4076
                                                {txt}Root MSE          =    {res} .76275

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}      z_fs_engagement{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}treat_any {c |}{col 23}{res}{space 2} .0741866{col 35}{space 2} .0553997{col 46}{space 1}    1.34{col 55}{space 3}0.181{col 63}{space 4}-.0345351{col 76}{space 3} .1829084
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .5560764{col 35}{space 2} .0296344{col 46}{space 1}   18.76{col 55}{space 3}0.000{col 63}{space 4} .4979189{col 76}{space 3} .6142339
{txt}{space 15}female {c |}{col 23}{res}{space 2}-.0349201{col 35}{space 2} .0633771{col 46}{space 1}   -0.55{col 55}{space 3}0.582{col 63}{space 4}-.1592975{col 76}{space 3} .0894574
{txt}{space 18}age {c |}{col 23}{res}{space 2} -.004992{col 35}{space 2} .0020081{col 46}{space 1}   -2.49{col 55}{space 3}0.013{col 63}{space 4}-.0089329{col 76}{space 3}-.0010511
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}  .000819{col 35}{space 2} .0022693{col 46}{space 1}    0.36{col 55}{space 3}0.718{col 63}{space 4}-.0036345{col 76}{space 3} .0052725
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-.2074822{col 35}{space 2} .1362404{col 46}{space 1}   -1.52{col 55}{space 3}0.128{col 63}{space 4}-.4748539{col 76}{space 3} .0598896
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2} .0701616{col 35}{space 2} .0406197{col 46}{space 1}    1.73{col 55}{space 3}0.084{col 63}{space 4}-.0095546{col 76}{space 3} .1498777
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2} .0572885{col 35}{space 2}  .027259{col 46}{space 1}    2.10{col 55}{space 3}0.036{col 63}{space 4} .0037928{col 76}{space 3} .1107842
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.0665481{col 35}{space 2} .0288896{col 46}{space 1}   -2.30{col 55}{space 3}0.021{col 63}{space 4}-.1232439{col 76}{space 3}-.0098523
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} .0251313{col 35}{space 2} .0696968{col 46}{space 1}    0.36{col 55}{space 3}0.718{col 63}{space 4}-.1116487{col 76}{space 3} .1619112
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0015599{col 35}{space 2} .0009487{col 46}{space 1}   -1.64{col 55}{space 3}0.100{col 63}{space 4}-.0034217{col 76}{space 3}  .000302
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2} .1350065{col 35}{space 2} .0740341{col 46}{space 1}    1.82{col 55}{space 3}0.069{col 63}{space 4}-.0102854{col 76}{space 3} .2802984
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2} .0683536{col 35}{space 2} .1065612{col 46}{space 1}    0.64{col 55}{space 3}0.521{col 63}{space 4}-.1407727{col 76}{space 3} .2774798
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .0274632{col 35}{space 2} .0636561{col 46}{space 1}    0.43{col 55}{space 3}0.666{col 63}{space 4}-.0974619{col 76}{space 3} .1523883
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .0678304{col 35}{space 2} .0701534{col 46}{space 1}    0.97{col 55}{space 3}0.334{col 63}{space 4}-.0698456{col 76}{space 3} .2055063
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .0366249{col 35}{space 2} .0839235{col 46}{space 1}    0.44{col 55}{space 3}0.663{col 63}{space 4}-.1280748{col 76}{space 3} .2013246
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2} .0643317{col 35}{space 2} .0795633{col 46}{space 1}    0.81{col 55}{space 3}0.419{col 63}{space 4}-.0918113{col 76}{space 3} .2204747
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .2177044{col 35}{space 2}   .10018{col 46}{space 1}    2.17{col 55}{space 3}0.030{col 63}{space 4} .0211012{col 76}{space 3} .4143075
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_any = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_engag~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0741866{col 26}{space 2} .0553997{col 37}{space 1}    1.34{col 46}{space 3}0.181{col 54}{space 4}-.0345351{col 67}{space 3} .1829084
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(17, 937)        =  {res}    40.97
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4119
                                                {txt}Root MSE          =    {res} .78526

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}           z_fs_voice{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}treat_any {c |}{col 23}{res}{space 2} .0224401{col 35}{space 2} .0550176{col 46}{space 1}    0.41{col 55}{space 3}0.683{col 63}{space 4}-.0855319{col 76}{space 3} .1304121
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .5869235{col 35}{space 2}  .026512{col 46}{space 1}   22.14{col 55}{space 3}0.000{col 63}{space 4} .5348937{col 76}{space 3} .6389533
{txt}{space 15}female {c |}{col 23}{res}{space 2} .0336582{col 35}{space 2} .0644377{col 46}{space 1}    0.52{col 55}{space 3}0.602{col 63}{space 4}-.0928007{col 76}{space 3} .1601172
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0035943{col 35}{space 2} .0020122{col 46}{space 1}   -1.79{col 55}{space 3}0.074{col 63}{space 4}-.0075431{col 76}{space 3} .0003546
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}-.0016093{col 35}{space 2} .0023206{col 46}{space 1}   -0.69{col 55}{space 3}0.488{col 63}{space 4}-.0061634{col 76}{space 3} .0029448
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-.1682196{col 35}{space 2} .1239896{col 46}{space 1}   -1.36{col 55}{space 3}0.175{col 63}{space 4} -.411549{col 76}{space 3} .0751099
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2} .0829367{col 35}{space 2} .0371777{col 46}{space 1}    2.23{col 55}{space 3}0.026{col 63}{space 4} .0099755{col 76}{space 3}  .155898
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2} .0657977{col 35}{space 2} .0283052{col 46}{space 1}    2.32{col 55}{space 3}0.020{col 63}{space 4} .0102488{col 76}{space 3} .1213465
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.0897014{col 35}{space 2} .0279257{col 46}{space 1}   -3.21{col 55}{space 3}0.001{col 63}{space 4}-.1445056{col 76}{space 3}-.0348972
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2}-.0699352{col 35}{space 2} .0727437{col 46}{space 1}   -0.96{col 55}{space 3}0.337{col 63}{space 4}-.2126946{col 76}{space 3} .0728243
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0017011{col 35}{space 2} .0008019{col 46}{space 1}   -2.12{col 55}{space 3}0.034{col 63}{space 4}-.0032748{col 76}{space 3}-.0001275
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2} .0113419{col 35}{space 2} .0766156{col 46}{space 1}    0.15{col 55}{space 3}0.882{col 63}{space 4}-.1390162{col 76}{space 3}    .1617
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2} .0874361{col 35}{space 2} .1064054{col 46}{space 1}    0.82{col 55}{space 3}0.411{col 63}{space 4}-.1213844{col 76}{space 3} .2962566
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .0124895{col 35}{space 2} .0704229{col 46}{space 1}    0.18{col 55}{space 3}0.859{col 63}{space 4}-.1257154{col 76}{space 3} .1506944
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .0361571{col 35}{space 2} .0761923{col 46}{space 1}    0.47{col 55}{space 3}0.635{col 63}{space 4}-.1133702{col 76}{space 3} .1856844
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2}-.0232881{col 35}{space 2} .0843008{col 46}{space 1}   -0.28{col 55}{space 3}0.782{col 63}{space 4}-.1887284{col 76}{space 3} .1421522
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2}-.0024911{col 35}{space 2} .0708093{col 46}{space 1}   -0.04{col 55}{space 3}0.972{col 63}{space 4}-.1414543{col 76}{space 3} .1364721
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .3099705{col 35}{space 2} .1039996{col 46}{space 1}    2.98{col 55}{space 3}0.003{col 63}{space 4} .1058713{col 76}{space 3} .5140697
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_any = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_fs_voice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0224401{col 26}{space 2} .0550176{col 37}{space 1}    0.41{col 46}{space 3}0.683{col 54}{space 4}-.0855319{col 67}{space 3} .1304121
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(17, 937)        =  {res}     9.46
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1747
                                                {txt}Root MSE          =    {res} .86695

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}       z_fs_connected{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}treat_any {c |}{col 23}{res}{space 2} .0736391{col 35}{space 2} .0625816{col 46}{space 1}    1.18{col 55}{space 3}0.240{col 63}{space 4}-.0491773{col 76}{space 3} .1964554
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .2826002{col 35}{space 2} .0307885{col 46}{space 1}    9.18{col 55}{space 3}0.000{col 63}{space 4} .2221778{col 76}{space 3} .3430226
{txt}{space 15}female {c |}{col 23}{res}{space 2} -.103095{col 35}{space 2}  .069919{col 46}{space 1}   -1.47{col 55}{space 3}0.141{col 63}{space 4} -.240311{col 76}{space 3} .0341211
{txt}{space 18}age {c |}{col 23}{res}{space 2} .0004021{col 35}{space 2} .0022383{col 46}{space 1}    0.18{col 55}{space 3}0.857{col 63}{space 4}-.0039905{col 76}{space 3} .0047948
{txt}{space 9}member_years {c |}{col 23}{res}{space 2} .0056493{col 35}{space 2} .0026765{col 46}{space 1}    2.11{col 55}{space 3}0.035{col 63}{space 4} .0003967{col 76}{space 3}  .010902
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-.2402493{col 35}{space 2}  .152872{col 46}{space 1}   -1.57{col 55}{space 3}0.116{col 63}{space 4}-.5402605{col 76}{space 3} .0597618
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2} .0861126{col 35}{space 2}  .044694{col 46}{space 1}    1.93{col 55}{space 3}0.054{col 63}{space 4}-.0015994{col 76}{space 3} .1738245
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2}-.0617221{col 35}{space 2}  .038794{col 46}{space 1}   -1.59{col 55}{space 3}0.112{col 63}{space 4}-.1378553{col 76}{space 3} .0144112
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.0538119{col 35}{space 2} .0338344{col 46}{space 1}   -1.59{col 55}{space 3}0.112{col 63}{space 4}-.1202118{col 76}{space 3}  .012588
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} .1190029{col 35}{space 2} .0803435{col 46}{space 1}    1.48{col 55}{space 3}0.139{col 63}{space 4}-.0386712{col 76}{space 3}  .276677
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0003805{col 35}{space 2} .0010002{col 46}{space 1}   -0.38{col 55}{space 3}0.704{col 63}{space 4}-.0023435{col 76}{space 3} .0015824
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2}-.0051158{col 35}{space 2}  .090422{col 46}{space 1}   -0.06{col 55}{space 3}0.955{col 63}{space 4}-.1825689{col 76}{space 3} .1723372
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2}-.1202211{col 35}{space 2} .1229133{col 46}{space 1}   -0.98{col 55}{space 3}0.328{col 63}{space 4}-.3614383{col 76}{space 3} .1209962
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .0879747{col 35}{space 2}  .067235{col 46}{space 1}    1.31{col 55}{space 3}0.191{col 63}{space 4}-.0439741{col 76}{space 3} .2199234
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .0513441{col 35}{space 2} .0788598{col 46}{space 1}    0.65{col 55}{space 3}0.515{col 63}{space 4}-.1034181{col 76}{space 3} .2061063
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .2163415{col 35}{space 2} .1068562{col 46}{space 1}    2.02{col 55}{space 3}0.043{col 63}{space 4} .0066363{col 76}{space 3} .4260467
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2} .0652036{col 35}{space 2}  .083848{col 46}{space 1}    0.78{col 55}{space 3}0.437{col 63}{space 4} -.099348{col 76}{space 3} .2297552
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} -.061877{col 35}{space 2} .1097298{col 46}{space 1}   -0.56{col 55}{space 3}0.573{col 63}{space 4}-.2772217{col 76}{space 3} .1534677
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_any = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_conne~d{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0736391{col 26}{space 2} .0625816{col 37}{space 1}    1.18{col 46}{space 3}0.240{col 54}{space 4}-.0491773{col 67}{space 3} .1964554
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(17, 937)        =  {res}    56.80
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4929
                                                {txt}Root MSE          =    {res} .73276

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}        z_fs_interest{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}treat_any {c |}{col 23}{res}{space 2} .0218826{col 35}{space 2} .0506525{col 46}{space 1}    0.43{col 55}{space 3}0.666{col 63}{space 4}-.0775229{col 76}{space 3} .1212881
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .6480212{col 35}{space 2}  .026953{col 46}{space 1}   24.04{col 55}{space 3}0.000{col 63}{space 4}  .595126{col 76}{space 3} .7009165
{txt}{space 15}female {c |}{col 23}{res}{space 2}-.0872366{col 35}{space 2} .0587364{col 46}{space 1}   -1.49{col 55}{space 3}0.138{col 63}{space 4}-.2025067{col 76}{space 3} .0280336
{txt}{space 18}age {c |}{col 23}{res}{space 2} .0019595{col 35}{space 2} .0018711{col 46}{space 1}    1.05{col 55}{space 3}0.295{col 63}{space 4}-.0017124{col 76}{space 3} .0056315
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}-.0036718{col 35}{space 2} .0021441{col 46}{space 1}   -1.71{col 55}{space 3}0.087{col 63}{space 4}-.0078796{col 76}{space 3} .0005361
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-.1163698{col 35}{space 2} .1287662{col 46}{space 1}   -0.90{col 55}{space 3}0.366{col 63}{space 4}-.3690733{col 76}{space 3} .1363337
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2}  .111867{col 35}{space 2} .0409242{col 46}{space 1}    2.73{col 55}{space 3}0.006{col 63}{space 4} .0315533{col 76}{space 3} .1921808
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2} .0511978{col 35}{space 2} .0273801{col 46}{space 1}    1.87{col 55}{space 3}0.062{col 63}{space 4}-.0025357{col 76}{space 3} .1049314
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2} -.048591{col 35}{space 2} .0271493{col 46}{space 1}   -1.79{col 55}{space 3}0.074{col 63}{space 4}-.1018716{col 76}{space 3} .0046895
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2}-.1258533{col 35}{space 2} .0657191{col 46}{space 1}   -1.92{col 55}{space 3}0.056{col 63}{space 4} -.254827{col 76}{space 3} .0031205
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0014886{col 35}{space 2} .0008367{col 46}{space 1}   -1.78{col 55}{space 3}0.076{col 63}{space 4}-.0031307{col 76}{space 3} .0001535
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2}-.0438251{col 35}{space 2} .0689687{col 46}{space 1}   -0.64{col 55}{space 3}0.525{col 63}{space 4}-.1791761{col 76}{space 3} .0915259
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2}-.0093992{col 35}{space 2} .0994467{col 46}{space 1}   -0.09{col 55}{space 3}0.925{col 63}{space 4}-.2045632{col 76}{space 3} .1857648
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2}-.0064805{col 35}{space 2} .0591097{col 46}{space 1}   -0.11{col 55}{space 3}0.913{col 63}{space 4}-.1224832{col 76}{space 3} .1095223
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .0505864{col 35}{space 2} .0677873{col 46}{space 1}    0.75{col 55}{space 3}0.456{col 63}{space 4}-.0824462{col 76}{space 3} .1836189
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .0098103{col 35}{space 2} .0850053{col 46}{space 1}    0.12{col 55}{space 3}0.908{col 63}{space 4}-.1570125{col 76}{space 3} .1766331
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2}-.0417543{col 35}{space 2} .0671334{col 46}{space 1}   -0.62{col 55}{space 3}0.534{col 63}{space 4}-.1735036{col 76}{space 3}  .089995
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .1710491{col 35}{space 2} .0973267{col 46}{space 1}    1.76{col 55}{space 3}0.079{col 63}{space 4}-.0199543{col 76}{space 3} .3620526
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_any = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_inter~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0218826{col 26}{space 2} .0506525{col 37}{space 1}    0.43{col 46}{space 3}0.666{col 54}{space 4}-.0775229{col 67}{space 3} .1212881
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         /* Statistics */
. 
. loc colnum = 1
{txt}
{com}. loc colnames ""
{txt}
{com}. 
. 
. foreach choice in `experiments' {c -(}
{txt}  2{com}. 
. /* Statistics */
. 
. 
. 
.  
.  
. ********************************Panel B*****************************************
.         
. 
.         
.    
.     xi: reg `choice'  voice_instrumental_pooled  voice_intrinsic_pooled   $control  , vce(r) // 
{txt}  3{com}.    
.    
.     sigstar  voice_instrumental_pooled   , prec(3)
{txt}  4{com}.     estadd loc thisstat8 = "`r(bstar)'": col`colnum'
{txt}  5{com}.     estadd loc thisstat9 = "`r(sestar)'": col`colnum'
{txt}  6{com}.    
.         sigstar voice_intrinsic_pooled  , prec(3)
{txt}  7{com}.     estadd loc thisstat11 = "`r(bstar)'": col`colnum'
{txt}  8{com}.     estadd loc thisstat12 = "`r(sestar)'": col`colnum'
{txt}  9{com}. 
.    
.    
.    
.         test    voice_instrumental_pooled = voice_intrinsic_pooled  
{txt} 10{com}.     estadd loc thisstat14 = string(`r(p)', "%9.2f"): col`colnum'
{txt} 11{com}. 
. 
.     loc ++colnum
{txt} 12{com}. 
. 
.         {c )-}
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(18, 936)        =  {res}    59.75
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.5496
                                                {txt}Root MSE          =    {res} .67423

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}               z_score_fs{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} .1114901{col 39}{space 2} .0555515{col 50}{space 1}    2.01{col 59}{space 3}0.045{col 67}{space 4} .0024702{col 80}{space 3} .2205101
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2} .0106244{col 39}{space 2} .0558037{col 50}{space 1}    0.19{col 59}{space 3}0.849{col 67}{space 4}-.0988904{col 80}{space 3} .1201393
{txt}{space 12}z_voice_prior {c |}{col 27}{res}{space 2} .6581171{col 39}{space 2} .0258493{col 50}{space 1}   25.46{col 59}{space 3}0.000{col 67}{space 4} .6073878{col 80}{space 3} .7088464
{txt}{space 19}female {c |}{col 27}{res}{space 2}-.0592904{col 39}{space 2} .0559287{col 50}{space 1}   -1.06{col 59}{space 3}0.289{col 67}{space 4}-.1690505{col 80}{space 3} .0504696
{txt}{space 22}age {c |}{col 27}{res}{space 2}-.0022295{col 39}{space 2}  .001792{col 50}{space 1}   -1.24{col 59}{space 3}0.214{col 67}{space 4}-.0057463{col 80}{space 3} .0012872
{txt}{space 13}member_years {c |}{col 27}{res}{space 2} .0004973{col 39}{space 2} .0020415{col 50}{space 1}    0.24{col 59}{space 3}0.808{col 67}{space 4}-.0035091{col 80}{space 3} .0045036
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 4}d_experience_campaign {c |}{col 27}{res}{space 2}-.2207996{col 39}{space 2} .1251016{col 50}{space 1}   -1.76{col 59}{space 3}0.078{col 67}{space 4}-.4663118{col 80}{space 3} .0247125
{txt}{space 14}z_votes_own {c |}{col 27}{res}{space 2} .1104851{col 39}{space 2} .0455743{col 50}{space 1}    2.42{col 59}{space 3}0.016{col 67}{space 4} .0210454{col 80}{space 3} .1999248
{txt}{space 10}z_votes_other_1 {c |}{col 27}{res}{space 2} .0349569{col 39}{space 2}  .028088{col 50}{space 1}    1.24{col 59}{space 3}0.214{col 67}{space 4}-.0201658{col 80}{space 3} .0900797
{txt}{space 10}z_votes_other_2 {c |}{col 27}{res}{space 2}-.0791999{col 39}{space 2} .0276532{col 50}{space 1}   -2.86{col 59}{space 3}0.004{col 67}{space 4}-.1334694{col 80}{space 3}-.0249305
{txt}{space 11}pre_doortodoor {c |}{col 27}{res}{space 2}-.0182436{col 39}{space 2}    .0616{col 50}{space 1}   -0.30{col 59}{space 3}0.767{col 67}{space 4}-.1391338{col 80}{space 3} .1026465
{txt}{space 6}pre_days_doortodoor {c |}{col 27}{res}{space 2}-.0015484{col 39}{space 2} .0006893{col 50}{space 1}   -2.25{col 59}{space 3}0.025{col 67}{space 4} -.002901{col 80}{space 3}-.0001957
{txt}{space 14}pre_posters {c |}{col 27}{res}{space 2}  .023484{col 39}{space 2} .0665717{col 50}{space 1}    0.35{col 59}{space 3}0.724{col 67}{space 4} -.107163{col 80}{space 3} .1541311
{txt}{space 16}pre_booth {c |}{col 27}{res}{space 2} .0083693{col 39}{space 2} .1011893{col 50}{space 1}    0.08{col 59}{space 3}0.934{col 67}{space 4}-.1902149{col 80}{space 3} .2069534
{txt}{space 15}pre_online {c |}{col 27}{res}{space 2} .0332369{col 39}{space 2} .0560285{col 50}{space 1}    0.59{col 59}{space 3}0.553{col 67}{space 4}-.0767191{col 80}{space 3}  .143193
{txt}{space 17}pre_call {c |}{col 27}{res}{space 2} .0697176{col 39}{space 2} .0600564{col 50}{space 1}    1.16{col 59}{space 3}0.246{col 67}{space 4}-.0481432{col 80}{space 3} .1875784
{txt}{space 14}pre_friends {c |}{col 27}{res}{space 2} .0730253{col 39}{space 2} .0777856{col 50}{space 1}    0.94{col 59}{space 3}0.348{col 67}{space 4}-.0796292{col 80}{space 3} .2256798
{txt}{space 15}pre_others {c |}{col 27}{res}{space 2} .0222469{col 39}{space 2} .0625981{col 50}{space 1}    0.36{col 59}{space 3}0.722{col 67}{space 4}-.1006019{col 80}{space 3} .1450957
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}  .211425{col 39}{space 2} .0913651{col 50}{space 1}    2.31{col 59}{space 3}0.021{col 67}{space 4} .0321208{col 80}{space 3} .3907292
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1114901{col 26}{space 2} .0555515{col 37}{space 1}    2.01{col 46}{space 3}0.045{col 54}{space 4} .0024702{col 67}{space 3} .2205101
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0106244{col 26}{space 2} .0558037{col 37}{space 1}    0.19{col 46}{space 3}0.849{col 54}{space 4}-.0988904{col 67}{space 3} .1201393
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,   936) ={res}    3.73
{txt}{col 13}Prob > F ={res}    0.0536
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(18, 936)        =  {res}    30.99
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4082
                                                {txt}Root MSE          =    {res} .76276

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}          z_fs_engagement{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} .1047355{col 39}{space 2} .0631121{col 50}{space 1}    1.66{col 59}{space 3}0.097{col 67}{space 4}-.0191221{col 80}{space 3} .2285931
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2} .0437926{col 39}{space 2} .0626035{col 50}{space 1}    0.70{col 59}{space 3}0.484{col 67}{space 4}-.0790668{col 80}{space 3} .1666521
{txt}{space 12}z_voice_prior {c |}{col 27}{res}{space 2} .5564292{col 39}{space 2}  .029714{col 50}{space 1}   18.73{col 59}{space 3}0.000{col 67}{space 4} .4981154{col 80}{space 3} .6147431
{txt}{space 19}female {c |}{col 27}{res}{space 2}-.0340363{col 39}{space 2} .0633892{col 50}{space 1}   -0.54{col 59}{space 3}0.591{col 67}{space 4}-.1584377{col 80}{space 3}  .090365
{txt}{space 22}age {c |}{col 27}{res}{space 2}-.0051465{col 39}{space 2} .0020243{col 50}{space 1}   -2.54{col 59}{space 3}0.011{col 67}{space 4}-.0091193{col 80}{space 3}-.0011738
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}  .000892{col 39}{space 2} .0022745{col 50}{space 1}    0.39{col 59}{space 3}0.695{col 67}{space 4}-.0035718{col 80}{space 3} .0053558
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 4}d_experience_campaign {c |}{col 27}{res}{space 2}-.2005852{col 39}{space 2} .1374569{col 50}{space 1}   -1.46{col 59}{space 3}0.145{col 67}{space 4}-.4703446{col 80}{space 3} .0691742
{txt}{space 14}z_votes_own {c |}{col 27}{res}{space 2} .0696543{col 39}{space 2} .0407177{col 50}{space 1}    1.71{col 59}{space 3}0.087{col 67}{space 4}-.0102543{col 80}{space 3} .1495628
{txt}{space 10}z_votes_other_1 {c |}{col 27}{res}{space 2} .0568439{col 39}{space 2} .0271561{col 50}{space 1}    2.09{col 59}{space 3}0.037{col 67}{space 4} .0035501{col 80}{space 3} .1101378
{txt}{space 10}z_votes_other_2 {c |}{col 27}{res}{space 2}-.0648459{col 39}{space 2}  .028869{col 50}{space 1}   -2.25{col 59}{space 3}0.025{col 67}{space 4}-.1215013{col 80}{space 3}-.0081905
{txt}{space 11}pre_doortodoor {c |}{col 27}{res}{space 2} .0240048{col 39}{space 2} .0697149{col 50}{space 1}    0.34{col 59}{space 3}0.731{col 67}{space 4}-.1128109{col 80}{space 3} .1608205
{txt}{space 6}pre_days_doortodoor {c |}{col 27}{res}{space 2}-.0015125{col 39}{space 2} .0009478{col 50}{space 1}   -1.60{col 59}{space 3}0.111{col 67}{space 4}-.0033725{col 80}{space 3} .0003475
{txt}{space 14}pre_posters {c |}{col 27}{res}{space 2} .1305334{col 39}{space 2} .0740211{col 50}{space 1}    1.76{col 59}{space 3}0.078{col 67}{space 4}-.0147332{col 80}{space 3} .2758001
{txt}{space 16}pre_booth {c |}{col 27}{res}{space 2} .0683965{col 39}{space 2} .1068086{col 50}{space 1}    0.64{col 59}{space 3}0.522{col 67}{space 4}-.1412155{col 80}{space 3} .2780086
{txt}{space 15}pre_online {c |}{col 27}{res}{space 2} .0242772{col 39}{space 2}  .063877{col 50}{space 1}    0.38{col 59}{space 3}0.704{col 67}{space 4}-.1010815{col 80}{space 3} .1496359
{txt}{space 17}pre_call {c |}{col 27}{res}{space 2} .0705023{col 39}{space 2} .0701625{col 50}{space 1}    1.00{col 59}{space 3}0.315{col 67}{space 4}-.0671917{col 80}{space 3} .2081963
{txt}{space 14}pre_friends {c |}{col 27}{res}{space 2} .0348636{col 39}{space 2} .0843351{col 50}{space 1}    0.41{col 59}{space 3}0.679{col 67}{space 4}-.1306442{col 80}{space 3} .2003713
{txt}{space 15}pre_others {c |}{col 27}{res}{space 2} .0614327{col 39}{space 2}  .079738{col 50}{space 1}    0.77{col 59}{space 3}0.441{col 67}{space 4}-.0950532{col 80}{space 3} .2179186
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .2234349{col 39}{space 2} .1007407{col 50}{space 1}    2.22{col 59}{space 3}0.027{col 67}{space 4} .0257311{col 80}{space 3} .4211388
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_engag~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1047355{col 26}{space 2} .0631121{col 37}{space 1}    1.66{col 46}{space 3}0.097{col 54}{space 4}-.0191221{col 67}{space 3} .2285931
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_engag~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0437926{col 26}{space 2} .0626035{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0790668{col 67}{space 3} .1666521
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,   936) ={res}    1.06
{txt}{col 13}Prob > F ={res}    0.3041
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(18, 936)        =  {res}    39.27
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4144
                                                {txt}Root MSE          =    {res}   .784

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}               z_fs_voice{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} .0858675{col 39}{space 2} .0640422{col 50}{space 1}    1.34{col 59}{space 3}0.180{col 67}{space 4}-.0398154{col 80}{space 3} .2115504
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2}-.0406658{col 39}{space 2}  .063348{col 50}{space 1}   -0.64{col 59}{space 3}0.521{col 67}{space 4}-.1649864{col 80}{space 3} .0836548
{txt}{space 12}z_voice_prior {c |}{col 27}{res}{space 2} .5876561{col 39}{space 2} .0265222{col 50}{space 1}   22.16{col 59}{space 3}0.000{col 67}{space 4} .5356062{col 80}{space 3}  .639706
{txt}{space 19}female {c |}{col 27}{res}{space 2} .0354931{col 39}{space 2} .0643994{col 50}{space 1}    0.55{col 59}{space 3}0.582{col 67}{space 4}-.0908908{col 80}{space 3} .1618771
{txt}{space 22}age {c |}{col 27}{res}{space 2}-.0039151{col 39}{space 2} .0020291{col 50}{space 1}   -1.93{col 59}{space 3}0.054{col 67}{space 4}-.0078973{col 80}{space 3} .0000671
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}-.0014578{col 39}{space 2} .0023277{col 50}{space 1}   -0.63{col 59}{space 3}0.531{col 67}{space 4} -.006026{col 80}{space 3} .0031104
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 4}d_experience_campaign {c |}{col 27}{res}{space 2}-.1538998{col 39}{space 2} .1241119{col 50}{space 1}   -1.24{col 59}{space 3}0.215{col 67}{space 4}-.3974695{col 80}{space 3}   .08967
{txt}{space 14}z_votes_own {c |}{col 27}{res}{space 2} .0818834{col 39}{space 2} .0374634{col 50}{space 1}    2.19{col 59}{space 3}0.029{col 67}{space 4} .0083615{col 80}{space 3} .1554054
{txt}{space 10}z_votes_other_1 {c |}{col 27}{res}{space 2} .0648747{col 39}{space 2} .0282373{col 50}{space 1}    2.30{col 59}{space 3}0.022{col 67}{space 4} .0094589{col 80}{space 3} .1202904
{txt}{space 10}z_votes_other_2 {c |}{col 27}{res}{space 2}-.0861673{col 39}{space 2} .0277204{col 50}{space 1}   -3.11{col 59}{space 3}0.002{col 67}{space 4}-.1405685{col 80}{space 3} -.031766
{txt}{space 11}pre_doortodoor {c |}{col 27}{res}{space 2} -.072274{col 39}{space 2} .0725438{col 50}{space 1}   -1.00{col 59}{space 3}0.319{col 67}{space 4}-.2146412{col 80}{space 3} .0700933
{txt}{space 6}pre_days_doortodoor {c |}{col 27}{res}{space 2}-.0016028{col 39}{space 2} .0007921{col 50}{space 1}   -2.02{col 59}{space 3}0.043{col 67}{space 4}-.0031573{col 80}{space 3}-.0000483
{txt}{space 14}pre_posters {c |}{col 27}{res}{space 2} .0020547{col 39}{space 2} .0772065{col 50}{space 1}    0.03{col 59}{space 3}0.979{col 67}{space 4}-.1494633{col 80}{space 3} .1535726
{txt}{space 16}pre_booth {c |}{col 27}{res}{space 2} .0875253{col 39}{space 2} .1068248{col 50}{space 1}    0.82{col 59}{space 3}0.413{col 67}{space 4}-.1221185{col 80}{space 3} .2971691
{txt}{space 15}pre_online {c |}{col 27}{res}{space 2} .0058745{col 39}{space 2} .0700444{col 50}{space 1}    0.08{col 59}{space 3}0.933{col 67}{space 4}-.1315878{col 80}{space 3} .1433368
{txt}{space 17}pre_call {c |}{col 27}{res}{space 2} .0417047{col 39}{space 2} .0759164{col 50}{space 1}    0.55{col 59}{space 3}0.583{col 67}{space 4}-.1072814{col 80}{space 3} .1906908
{txt}{space 14}pre_friends {c |}{col 27}{res}{space 2} -.026945{col 39}{space 2} .0834397{col 50}{space 1}   -0.32{col 59}{space 3}0.747{col 67}{space 4}-.1906955{col 80}{space 3} .1368054
{txt}{space 15}pre_others {c |}{col 27}{res}{space 2}-.0085101{col 39}{space 2} .0699912{col 50}{space 1}   -0.12{col 59}{space 3}0.903{col 67}{space 4}-.1458679{col 80}{space 3} .1288477
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .3218687{col 39}{space 2} .1046622{col 50}{space 1}    3.08{col 59}{space 3}0.002{col 67}{space 4}  .116469{col 80}{space 3} .5272683
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_fs_voice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0858675{col 26}{space 2} .0640422{col 37}{space 1}    1.34{col 46}{space 3}0.180{col 54}{space 4}-.0398154{col 67}{space 3} .2115504
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_fs_voice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0406658{col 26}{space 2}  .063348{col 37}{space 1}   -0.64{col 46}{space 3}0.521{col 54}{space 4}-.1649864{col 67}{space 3} .0836548
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,   936) ={res}    3.89
{txt}{col 13}Prob > F ={res}    0.0490
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(18, 936)        =  {res}     8.95
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1748
                                                {txt}Root MSE          =    {res} .86733

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}           z_fs_connected{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} .0881053{col 39}{space 2} .0697825{col 50}{space 1}    1.26{col 59}{space 3}0.207{col 67}{space 4} -.048843{col 80}{space 3} .2250535
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2} .0592462{col 39}{space 2} .0720145{col 50}{space 1}    0.82{col 59}{space 3}0.411{col 67}{space 4}-.0820825{col 80}{space 3} .2005749
{txt}{space 12}z_voice_prior {c |}{col 27}{res}{space 2} .2827673{col 39}{space 2} .0308414{col 50}{space 1}    9.17{col 59}{space 3}0.000{col 67}{space 4} .2222409{col 80}{space 3} .3432937
{txt}{space 19}female {c |}{col 27}{res}{space 2}-.1026765{col 39}{space 2} .0699641{col 50}{space 1}   -1.47{col 59}{space 3}0.143{col 67}{space 4}-.2399811{col 80}{space 3} .0346282
{txt}{space 22}age {c |}{col 27}{res}{space 2}  .000329{col 39}{space 2} .0022488{col 50}{space 1}    0.15{col 59}{space 3}0.884{col 67}{space 4}-.0040843{col 80}{space 3} .0047422
{txt}{space 13}member_years {c |}{col 27}{res}{space 2} .0056839{col 39}{space 2} .0026831{col 50}{space 1}    2.12{col 59}{space 3}0.034{col 67}{space 4} .0004182{col 80}{space 3} .0109496
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 4}d_experience_campaign {c |}{col 27}{res}{space 2}-.2369833{col 39}{space 2} .1534794{col 50}{space 1}   -1.54{col 59}{space 3}0.123{col 67}{space 4} -.538187{col 80}{space 3} .0642203
{txt}{space 14}z_votes_own {c |}{col 27}{res}{space 2} .0858723{col 39}{space 2}  .044656{col 50}{space 1}    1.92{col 59}{space 3}0.055{col 67}{space 4}-.0017651{col 80}{space 3} .1735098
{txt}{space 10}z_votes_other_1 {c |}{col 27}{res}{space 2}-.0619326{col 39}{space 2} .0388124{col 50}{space 1}   -1.60{col 59}{space 3}0.111{col 67}{space 4}-.1381019{col 80}{space 3} .0142367
{txt}{space 10}z_votes_other_2 {c |}{col 27}{res}{space 2}-.0530059{col 39}{space 2} .0338882{col 50}{space 1}   -1.56{col 59}{space 3}0.118{col 67}{space 4}-.1195116{col 80}{space 3} .0134998
{txt}{space 11}pre_doortodoor {c |}{col 27}{res}{space 2} .1184695{col 39}{space 2} .0805158{col 50}{space 1}    1.47{col 59}{space 3}0.142{col 67}{space 4}-.0395429{col 80}{space 3} .2764819
{txt}{space 6}pre_days_doortodoor {c |}{col 27}{res}{space 2}-.0003581{col 39}{space 2} .0009995{col 50}{space 1}   -0.36{col 59}{space 3}0.720{col 67}{space 4}-.0023197{col 80}{space 3} .0016035
{txt}{space 14}pre_posters {c |}{col 27}{res}{space 2} -.007234{col 39}{space 2} .0906127{col 50}{space 1}   -0.08{col 59}{space 3}0.936{col 67}{space 4}-.1850616{col 80}{space 3} .1705936
{txt}{space 16}pre_booth {c |}{col 27}{res}{space 2}-.1202007{col 39}{space 2}  .122938{col 50}{space 1}   -0.98{col 59}{space 3}0.328{col 67}{space 4}-.3614668{col 80}{space 3} .1210654
{txt}{space 15}pre_online {c |}{col 27}{res}{space 2} .0864659{col 39}{space 2} .0678512{col 50}{space 1}    1.27{col 59}{space 3}0.203{col 67}{space 4}-.0466921{col 80}{space 3}  .219624
{txt}{space 17}pre_call {c |}{col 27}{res}{space 2} .0526094{col 39}{space 2} .0790078{col 50}{space 1}    0.67{col 59}{space 3}0.506{col 67}{space 4}-.1024435{col 80}{space 3} .2076623
{txt}{space 14}pre_friends {c |}{col 27}{res}{space 2} .2155075{col 39}{space 2} .1069674{col 50}{space 1}    2.01{col 59}{space 3}0.044{col 67}{space 4} .0055837{col 80}{space 3} .4254312
{txt}{space 15}pre_others {c |}{col 27}{res}{space 2} .0638308{col 39}{space 2} .0841611{col 50}{space 1}    0.76{col 59}{space 3}0.448{col 67}{space 4}-.1013354{col 80}{space 3} .2289971
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-.0591633{col 39}{space 2}  .110114{col 50}{space 1}   -0.54{col 59}{space 3}0.591{col 67}{space 4}-.2752623{col 80}{space 3} .1569357
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_conne~d{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0881053{col 26}{space 2} .0697825{col 37}{space 1}    1.26{col 46}{space 3}0.207{col 54}{space 4} -.048843{col 67}{space 3} .2250535
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_conne~d{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0592462{col 26}{space 2} .0720145{col 37}{space 1}    0.82{col 46}{space 3}0.411{col 54}{space 4}-.0820825{col 67}{space 3} .2005749
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,   936) ={res}    0.19
{txt}{col 13}Prob > F ={res}    0.6645
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(18, 936)        =  {res}    53.83
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4945
                                                {txt}Root MSE          =    {res} .73199

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}            z_fs_interest{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} .0728912{col 39}{space 2} .0601908{col 50}{space 1}    1.21{col 59}{space 3}0.226{col 67}{space 4}-.0452333{col 80}{space 3} .1910157
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2}-.0288674{col 39}{space 2} .0571827{col 50}{space 1}   -0.50{col 59}{space 3}0.614{col 67}{space 4}-.1410886{col 80}{space 3} .0833538
{txt}{space 12}z_voice_prior {c |}{col 27}{res}{space 2} .6486104{col 39}{space 2} .0270817{col 50}{space 1}   23.95{col 59}{space 3}0.000{col 67}{space 4} .5954625{col 80}{space 3} .7017583
{txt}{space 19}female {c |}{col 27}{res}{space 2}-.0857609{col 39}{space 2} .0588047{col 50}{space 1}   -1.46{col 59}{space 3}0.145{col 67}{space 4}-.2011652{col 80}{space 3} .0296434
{txt}{space 22}age {c |}{col 27}{res}{space 2} .0017015{col 39}{space 2}  .001878{col 50}{space 1}    0.91{col 59}{space 3}0.365{col 67}{space 4}-.0019841{col 80}{space 3} .0053872
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}-.0035499{col 39}{space 2}  .002145{col 50}{space 1}   -1.65{col 59}{space 3}0.098{col 67}{space 4}-.0077595{col 80}{space 3} .0006597
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 4}d_experience_campaign {c |}{col 27}{res}{space 2}-.1048537{col 39}{space 2} .1289496{col 50}{space 1}   -0.81{col 59}{space 3}0.416{col 67}{space 4}-.3579176{col 80}{space 3} .1482101
{txt}{space 14}z_votes_own {c |}{col 27}{res}{space 2}   .11102{col 39}{space 2} .0411276{col 50}{space 1}    2.70{col 59}{space 3}0.007{col 67}{space 4} .0303071{col 80}{space 3} .1917329
{txt}{space 10}z_votes_other_1 {c |}{col 27}{res}{space 2} .0504556{col 39}{space 2} .0272439{col 50}{space 1}    1.85{col 59}{space 3}0.064{col 67}{space 4}-.0030106{col 80}{space 3} .1039217
{txt}{space 10}z_votes_other_2 {c |}{col 27}{res}{space 2}-.0457489{col 39}{space 2} .0268552{col 50}{space 1}   -1.70{col 59}{space 3}0.089{col 67}{space 4}-.0984522{col 80}{space 3} .0069545
{txt}{space 11}pre_doortodoor {c |}{col 27}{res}{space 2}-.1277341{col 39}{space 2} .0658282{col 50}{space 1}   -1.94{col 59}{space 3}0.053{col 67}{space 4} -.256922{col 80}{space 3} .0014538
{txt}{space 6}pre_days_doortodoor {c |}{col 27}{res}{space 2}-.0014095{col 39}{space 2} .0008376{col 50}{space 1}   -1.68{col 59}{space 3}0.093{col 67}{space 4}-.0030534{col 80}{space 3} .0002343
{txt}{space 14}pre_posters {c |}{col 27}{res}{space 2}-.0512939{col 39}{space 2} .0686744{col 50}{space 1}   -0.75{col 59}{space 3}0.455{col 67}{space 4}-.1860676{col 80}{space 3} .0834797
{txt}{space 16}pre_booth {c |}{col 27}{res}{space 2}-.0093275{col 39}{space 2} .0999349{col 50}{space 1}   -0.09{col 59}{space 3}0.926{col 67}{space 4}-.2054499{col 80}{space 3} .1867949
{txt}{space 15}pre_online {c |}{col 27}{res}{space 2}-.0118003{col 39}{space 2} .0591951{col 50}{space 1}   -0.20{col 59}{space 3}0.842{col 67}{space 4}-.1279707{col 80}{space 3} .1043701
{txt}{space 17}pre_call {c |}{col 27}{res}{space 2} .0550478{col 39}{space 2} .0678687{col 50}{space 1}    0.81{col 59}{space 3}0.418{col 67}{space 4}-.0781447{col 80}{space 3} .1882403
{txt}{space 14}pre_friends {c |}{col 27}{res}{space 2} .0068693{col 39}{space 2} .0849333{col 50}{space 1}    0.08{col 59}{space 3}0.936{col 67}{space 4}-.1598125{col 80}{space 3} .1735512
{txt}{space 15}pre_others {c |}{col 27}{res}{space 2}-.0465948{col 39}{space 2} .0673345{col 50}{space 1}   -0.69{col 59}{space 3}0.489{col 67}{space 4} -.178739{col 80}{space 3} .0855494
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .1806177{col 39}{space 2} .0978355{col 50}{space 1}    1.85{col 59}{space 3}0.065{col 67}{space 4}-.0113848{col 80}{space 3} .3726201
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_inter~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0728912{col 26}{space 2} .0601908{col 37}{space 1}    1.21{col 46}{space 3}0.226{col 54}{space 4}-.0452333{col 67}{space 3} .1910157
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_inter~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0288674{col 26}{space 2} .0571827{col 37}{space 1}   -0.50{col 46}{space 3}0.614{col 54}{space 4}-.1410886{col 67}{space 3} .0833538
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,   936) ={res}    2.94
{txt}{col 13}Prob > F ={res}    0.0867
{txt}
{com}.         
. 
.         /* Statistics */
. 
. loc colnum = 1
{txt}
{com}. loc colnames ""
{txt}
{com}. 
. 
. foreach choice in `experiments' {c -(}
{txt}  2{com}. 
. /* Statistics */
. 
. 
. 
.  
.  
. ********************************Panel A*****************************************
. 
.         
.  xi: reg `choice' feedback_pooled  no_feedback_pooled  $control  , vce(r) // 
{txt}  3{com}.    
.          
.    
.     
.     sigstar feedback_pooled   , prec(3)
{txt}  4{com}.     estadd loc thisstat18 = "`r(bstar)'": col`colnum'
{txt}  5{com}.     estadd loc thisstat19 = "`r(sestar)'": col`colnum'
{txt}  6{com}.    
.     sigstar no_feedback_pooled , prec(3)
{txt}  7{com}.     estadd loc thisstat21 = "`r(bstar)'": col`colnum'
{txt}  8{com}.     estadd loc thisstat22 = "`r(sestar)'": col`colnum'
{txt}  9{com}.         
.                 
.         test     feedback_pooled  = no_feedback_pooled
{txt} 10{com}. 
.         estadd loc thisstat24 = string(`r(p)', "%9.2f"): col`colnum'
{txt} 11{com}.                  
.         qui sum `choice' if control==1
{txt} 12{com}.         estadd loc thisstat25 = string(`r(mean)', "%9.2f"): col`colnum'
{txt} 13{com}.         
.         qui sum `choice' 
{txt} 14{com}.     estadd loc thisstat26 = string(`r(N)', "%9.0f"): col`colnum'
{txt} 15{com}.         
.         
.                 qui sum `choice' 
{txt} 16{com}.     estadd loc thisstat27 = "X": col`colnum'
{txt} 17{com}. 
. 
.         
.     loc ++colnum
{txt} 18{com}. 
.         {c )-}
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(18, 936)        =  {res}    60.11
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.5484
                                                {txt}Root MSE          =    {res} .67511

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}           z_score_fs{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}feedback_pooled {c |}{col 23}{res}{space 2} .0892283{col 35}{space 2}  .056186{col 46}{space 1}    1.59{col 55}{space 3}0.113{col 63}{space 4}-.0210368{col 76}{space 3} .1994933
{txt}{space 3}no_feedback_pooled {c |}{col 23}{res}{space 2} .0348335{col 35}{space 2} .0548129{col 46}{space 1}    0.64{col 55}{space 3}0.525{col 63}{space 4}-.0727369{col 76}{space 3} .1424039
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .6576625{col 35}{space 2} .0258006{col 46}{space 1}   25.49{col 55}{space 3}0.000{col 63}{space 4} .6070287{col 76}{space 3} .7082962
{txt}{space 15}female {c |}{col 23}{res}{space 2}-.0614253{col 35}{space 2} .0559123{col 46}{space 1}   -1.10{col 55}{space 3}0.272{col 63}{space 4}-.1711534{col 76}{space 3} .0483027
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0019004{col 35}{space 2} .0017848{col 46}{space 1}   -1.06{col 55}{space 3}0.287{col 63}{space 4}-.0054031{col 76}{space 3} .0016023
{txt}{space 9}member_years {c |}{col 23}{res}{space 2} .0003128{col 35}{space 2} .0020349{col 46}{space 1}    0.15{col 55}{space 3}0.878{col 63}{space 4}-.0036808{col 76}{space 3} .0043063
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-.2328739{col 35}{space 2} .1250301{col 46}{space 1}   -1.86{col 55}{space 3}0.063{col 63}{space 4}-.4782456{col 76}{space 3} .0124978
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2} .1119517{col 35}{space 2} .0458256{col 46}{space 1}    2.44{col 55}{space 3}0.015{col 63}{space 4}  .022019{col 76}{space 3} .2018844
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2} .0360301{col 35}{space 2} .0282976{col 46}{space 1}    1.27{col 55}{space 3}0.203{col 63}{space 4}-.0195039{col 76}{space 3} .0915642
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2} -.081104{col 35}{space 2} .0278447{col 46}{space 1}   -2.91{col 55}{space 3}0.004{col 63}{space 4}-.1357492{col 76}{space 3}-.0264587
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} -.018169{col 35}{space 2} .0615859{col 46}{space 1}   -0.30{col 55}{space 3}0.768{col 63}{space 4}-.1390314{col 76}{space 3} .1026935
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0016276{col 35}{space 2} .0006942{col 46}{space 1}   -2.34{col 55}{space 3}0.019{col 63}{space 4}-.0029901{col 76}{space 3}-.0002652
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2} .0321174{col 35}{space 2} .0664865{col 46}{space 1}    0.48{col 55}{space 3}0.629{col 63}{space 4}-.0983624{col 76}{space 3} .1625973
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2} .0043813{col 35}{space 2}  .101234{col 46}{space 1}    0.04{col 55}{space 3}0.965{col 63}{space 4}-.1942906{col 76}{space 3} .2030532
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .0417924{col 35}{space 2} .0557805{col 46}{space 1}    0.75{col 55}{space 3}0.454{col 63}{space 4} -.067677{col 76}{space 3} .1512617
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2}  .066965{col 35}{space 2} .0600612{col 46}{space 1}    1.11{col 55}{space 3}0.265{col 63}{space 4}-.0509053{col 76}{space 3} .1848352
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2}  .074696{col 35}{space 2} .0781006{col 46}{space 1}    0.96{col 55}{space 3}0.339{col 63}{space 4}-.0785766{col 76}{space 3} .2279687
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2} .0266014{col 35}{space 2} .0627724{col 46}{space 1}    0.42{col 55}{space 3}0.672{col 63}{space 4}-.0965896{col 76}{space 3} .1497923
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .2021093{col 35}{space 2} .0908844{col 46}{space 1}    2.22{col 55}{space 3}0.026{col 63}{space 4} .0237484{col 76}{space 3} .3804702
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0892283{col 26}{space 2}  .056186{col 37}{space 1}    1.59{col 46}{space 3}0.113{col 54}{space 4}-.0210368{col 67}{space 3} .1994933
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}no_feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0348335{col 26}{space 2} .0548129{col 37}{space 1}    0.64{col 46}{space 3}0.525{col 54}{space 4}-.0727369{col 67}{space 3} .1424039
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}feedback_pooled - no_feedback_pooled = 0{p_end}

{txt}       F(  1,   936) ={res}    1.12
{txt}{col 13}Prob > F ={res}    0.2907
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(18, 936)        =  {res}    30.99
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4077
                                                {txt}Root MSE          =    {res} .76313

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}      z_fs_engagement{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}feedback_pooled {c |}{col 23}{res}{space 2} .0824708{col 35}{space 2} .0642946{col 46}{space 1}    1.28{col 55}{space 3}0.200{col 63}{space 4}-.0437074{col 76}{space 3}  .208649
{txt}{space 3}no_feedback_pooled {c |}{col 23}{res}{space 2} .0665476{col 35}{space 2} .0610782{col 46}{space 1}    1.09{col 55}{space 3}0.276{col 63}{space 4}-.0533185{col 76}{space 3} .1864136
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .5561143{col 35}{space 2} .0296542{col 46}{space 1}   18.75{col 55}{space 3}0.000{col 63}{space 4} .4979178{col 76}{space 3} .6143108
{txt}{space 15}female {c |}{col 23}{res}{space 2}-.0351169{col 35}{space 2} .0633939{col 46}{space 1}   -0.55{col 55}{space 3}0.580{col 63}{space 4}-.1595275{col 76}{space 3} .0892937
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0049705{col 35}{space 2} .0020051{col 46}{space 1}   -2.48{col 55}{space 3}0.013{col 63}{space 4}-.0089055{col 76}{space 3}-.0010356
{txt}{space 9}member_years {c |}{col 23}{res}{space 2} .0008003{col 35}{space 2} .0022653{col 46}{space 1}    0.35{col 55}{space 3}0.724{col 63}{space 4}-.0036453{col 76}{space 3}  .005246
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-.2076752{col 35}{space 2} .1363929{col 46}{space 1}   -1.52{col 55}{space 3}0.128{col 63}{space 4}-.4753464{col 76}{space 3} .0599961
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2} .0703451{col 35}{space 2} .0407892{col 46}{space 1}    1.72{col 55}{space 3}0.085{col 63}{space 4}-.0097039{col 76}{space 3} .1503941
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2} .0573872{col 35}{space 2}  .027269{col 46}{space 1}    2.10{col 55}{space 3}0.036{col 63}{space 4} .0038717{col 76}{space 3} .1109028
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.0662808{col 35}{space 2} .0288887{col 46}{space 1}   -2.29{col 55}{space 3}0.022{col 63}{space 4}-.1229749{col 76}{space 3}-.0095867
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} .0246073{col 35}{space 2} .0698544{col 46}{space 1}    0.35{col 55}{space 3}0.725{col 63}{space 4}-.1124821{col 76}{space 3} .1616968
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0015601{col 35}{space 2} .0009506{col 46}{space 1}   -1.64{col 55}{space 3}0.101{col 63}{space 4}-.0034257{col 76}{space 3} .0003054
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2} .1353666{col 35}{space 2} .0739725{col 46}{space 1}    1.83{col 55}{space 3}0.068{col 63}{space 4}-.0098046{col 76}{space 3} .2805378
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2}  .067207{col 35}{space 2} .1067538{col 46}{space 1}    0.63{col 55}{space 3}0.529{col 63}{space 4}-.1422975{col 76}{space 3} .2767114
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2}  .028424{col 35}{space 2} .0636073{col 46}{space 1}    0.45{col 55}{space 3}0.655{col 63}{space 4}-.0964054{col 76}{space 3} .1532535
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .0683191{col 35}{space 2} .0703291{col 46}{space 1}    0.97{col 55}{space 3}0.332{col 63}{space 4}-.0697019{col 76}{space 3} .2063401
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .0362606{col 35}{space 2} .0839804{col 46}{space 1}    0.43{col 55}{space 3}0.666{col 63}{space 4}-.1285511{col 76}{space 3} .2010723
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2} .0642018{col 35}{space 2} .0796569{col 46}{space 1}    0.81{col 55}{space 3}0.420{col 63}{space 4}-.0921249{col 76}{space 3} .2205286
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .2177538{col 35}{space 2} .1002282{col 46}{space 1}    2.17{col 55}{space 3}0.030{col 63}{space 4} .0210559{col 76}{space 3} .4144517
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_engag~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0824708{col 26}{space 2} .0642946{col 37}{space 1}    1.28{col 46}{space 3}0.200{col 54}{space 4}-.0437074{col 67}{space 3}  .208649
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}no_feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_engag~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0665476{col 26}{space 2} .0610782{col 37}{space 1}    1.09{col 46}{space 3}0.276{col 54}{space 4}-.0533185{col 67}{space 3} .1864136
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}feedback_pooled - no_feedback_pooled = 0{p_end}

{txt}       F(  1,   936) ={res}    0.07
{txt}{col 13}Prob > F ={res}    0.7852
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(18, 936)        =  {res}    38.77
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4122
                                                {txt}Root MSE          =    {res} .78548

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}           z_fs_voice{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}feedback_pooled {c |}{col 23}{res}{space 2} .0450609{col 35}{space 2} .0628736{col 46}{space 1}    0.72{col 55}{space 3}0.474{col 63}{space 4}-.0783288{col 76}{space 3} .1684505
{txt}{space 3}no_feedback_pooled {c |}{col 23}{res}{space 2} .0015807{col 35}{space 2} .0640532{col 46}{space 1}    0.02{col 55}{space 3}0.980{col 63}{space 4}-.1241239{col 76}{space 3} .1272852
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .5870269{col 35}{space 2} .0265686{col 46}{space 1}   22.09{col 55}{space 3}0.000{col 63}{space 4} .5348859{col 76}{space 3} .6391679
{txt}{space 15}female {c |}{col 23}{res}{space 2} .0331209{col 35}{space 2} .0643851{col 46}{space 1}    0.51{col 55}{space 3}0.607{col 63}{space 4} -.093235{col 76}{space 3} .1594768
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0035356{col 35}{space 2} .0020128{col 46}{space 1}   -1.76{col 55}{space 3}0.079{col 63}{space 4}-.0074857{col 76}{space 3} .0004145
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}-.0016602{col 35}{space 2} .0023178{col 46}{space 1}   -0.72{col 55}{space 3}0.474{col 63}{space 4} -.006209{col 76}{space 3} .0028885
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-.1687466{col 35}{space 2} .1241272{col 46}{space 1}   -1.36{col 55}{space 3}0.174{col 63}{space 4}-.4123465{col 76}{space 3} .0748533
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2} .0834379{col 35}{space 2} .0373807{col 46}{space 1}    2.23{col 55}{space 3}0.026{col 63}{space 4} .0100782{col 76}{space 3} .1567976
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2} .0660674{col 35}{space 2} .0282855{col 46}{space 1}    2.34{col 55}{space 3}0.020{col 63}{space 4}  .010557{col 76}{space 3} .1215778
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.0889715{col 35}{space 2} .0277877{col 46}{space 1}   -3.20{col 55}{space 3}0.001{col 63}{space 4}-.1435048{col 76}{space 3}-.0344381
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2}-.0713658{col 35}{space 2} .0727151{col 46}{space 1}   -0.98{col 55}{space 3}0.327{col 63}{space 4}-.2140692{col 76}{space 3} .0713377
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0017019{col 35}{space 2} .0008005{col 46}{space 1}   -2.13{col 55}{space 3}0.034{col 63}{space 4}-.0032728{col 76}{space 3}-.0001309
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2} .0123252{col 35}{space 2}  .076571{col 46}{space 1}    0.16{col 55}{space 3}0.872{col 63}{space 4}-.1379456{col 76}{space 3} .1625959
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2} .0843052{col 35}{space 2} .1065826{col 46}{space 1}    0.79{col 55}{space 3}0.429{col 63}{space 4}-.1248634{col 76}{space 3} .2934738
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .0151132{col 35}{space 2} .0706526{col 46}{space 1}    0.21{col 55}{space 3}0.831{col 63}{space 4}-.1235426{col 76}{space 3}  .153769
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .0374917{col 35}{space 2} .0759684{col 46}{space 1}    0.49{col 55}{space 3}0.622{col 63}{space 4}-.1115965{col 76}{space 3} .1865799
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2}-.0242828{col 35}{space 2} .0846505{col 46}{space 1}   -0.29{col 55}{space 3}0.774{col 63}{space 4}-.1904096{col 76}{space 3} .1418441
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2}-.0028456{col 35}{space 2} .0709204{col 46}{space 1}   -0.04{col 55}{space 3}0.968{col 63}{space 4}-.1420271{col 76}{space 3} .1363358
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .3101055{col 35}{space 2} .1040076{col 46}{space 1}    2.98{col 55}{space 3}0.003{col 63}{space 4} .1059905{col 76}{space 3} .5142205
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_fs_voice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0450609{col 26}{space 2} .0628736{col 37}{space 1}    0.72{col 46}{space 3}0.474{col 54}{space 4}-.0783288{col 67}{space 3} .1684505
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}no_feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_fs_voice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0015807{col 26}{space 2} .0640532{col 37}{space 1}    0.02{col 46}{space 3}0.980{col 54}{space 4}-.1241239{col 67}{space 3} .1272852
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}feedback_pooled - no_feedback_pooled = 0{p_end}

{txt}       F(  1,   936) ={res}    0.47
{txt}{col 13}Prob > F ={res}    0.4928
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(18, 936)        =  {res}     8.93
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1747
                                                {txt}Root MSE          =    {res}  .8674

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}       z_fs_connected{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}feedback_pooled {c |}{col 23}{res}{space 2}  .079586{col 35}{space 2} .0704199{col 46}{space 1}    1.13{col 55}{space 3}0.259{col 63}{space 4}-.0586131{col 76}{space 3} .2177851
{txt}{space 3}no_feedback_pooled {c |}{col 23}{res}{space 2} .0681552{col 35}{space 2} .0710297{col 46}{space 1}    0.96{col 55}{space 3}0.338{col 63}{space 4}-.0712408{col 76}{space 3} .2075511
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .2826274{col 35}{space 2} .0308096{col 46}{space 1}    9.17{col 55}{space 3}0.000{col 63}{space 4} .2221634{col 76}{space 3} .3430913
{txt}{space 15}female {c |}{col 23}{res}{space 2}-.1032362{col 35}{space 2} .0699326{col 46}{space 1}   -1.48{col 55}{space 3}0.140{col 63}{space 4} -.240479{col 76}{space 3} .0340066
{txt}{space 18}age {c |}{col 23}{res}{space 2} .0004176{col 35}{space 2} .0022389{col 46}{space 1}    0.19{col 55}{space 3}0.852{col 63}{space 4}-.0039762{col 76}{space 3} .0048113
{txt}{space 9}member_years {c |}{col 23}{res}{space 2} .0056359{col 35}{space 2} .0026768{col 46}{space 1}    2.11{col 55}{space 3}0.036{col 63}{space 4} .0003826{col 76}{space 3} .0108892
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-.2403879{col 35}{space 2} .1530507{col 46}{space 1}   -1.57{col 55}{space 3}0.117{col 63}{space 4}-.5407501{col 76}{space 3} .0599743
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2} .0862443{col 35}{space 2} .0447959{col 46}{space 1}    1.93{col 55}{space 3}0.054{col 63}{space 4}-.0016678{col 76}{space 3} .1741564
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2}-.0616511{col 35}{space 2} .0388477{col 46}{space 1}   -1.59{col 55}{space 3}0.113{col 63}{space 4}-.1378899{col 76}{space 3} .0145876
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}  -.05362{col 35}{space 2} .0338403{col 46}{space 1}   -1.58{col 55}{space 3}0.113{col 63}{space 4}-.1200317{col 76}{space 3} .0127917
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} .1186268{col 35}{space 2} .0803182{col 46}{space 1}    1.48{col 55}{space 3}0.140{col 63}{space 4}-.0389977{col 76}{space 3} .2762514
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0003807{col 35}{space 2} .0009999{col 46}{space 1}   -0.38{col 55}{space 3}0.703{col 63}{space 4} -.002343{col 76}{space 3} .0015815
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2}-.0048573{col 35}{space 2}  .090503{col 46}{space 1}   -0.05{col 55}{space 3}0.957{col 63}{space 4}-.1824696{col 76}{space 3}  .172755
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2}-.1210442{col 35}{space 2} .1232317{col 46}{space 1}   -0.98{col 55}{space 3}0.326{col 63}{space 4}-.3628865{col 76}{space 3} .1207982
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .0886644{col 35}{space 2} .0676151{col 46}{space 1}    1.31{col 55}{space 3}0.190{col 63}{space 4}-.0440304{col 76}{space 3} .2213592
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2}  .051695{col 35}{space 2}  .079042{col 46}{space 1}    0.65{col 55}{space 3}0.513{col 63}{space 4} -.103425{col 76}{space 3}  .206815
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2}   .21608{col 35}{space 2}  .106849{col 46}{space 1}    2.02{col 55}{space 3}0.043{col 63}{space 4} .0063887{col 76}{space 3} .4257714
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2} .0651104{col 35}{space 2} .0838984{col 46}{space 1}    0.78{col 55}{space 3}0.438{col 63}{space 4}-.0995404{col 76}{space 3} .2297612
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-.0618415{col 35}{space 2} .1097784{col 46}{space 1}   -0.56{col 55}{space 3}0.573{col 63}{space 4}-.2772818{col 76}{space 3} .1535988
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_conne~d{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .079586{col 26}{space 2} .0704199{col 37}{space 1}    1.13{col 46}{space 3}0.259{col 54}{space 4}-.0586131{col 67}{space 3} .2177851
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}no_feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_conne~d{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0681552{col 26}{space 2} .0710297{col 37}{space 1}    0.96{col 46}{space 3}0.338{col 54}{space 4}-.0712408{col 67}{space 3} .2075511
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}feedback_pooled - no_feedback_pooled = 0{p_end}

{txt}       F(  1,   936) ={res}    0.03
{txt}{col 13}Prob > F ={res}    0.8623
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(18, 936)        =  {res}    53.82
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4945
                                                {txt}Root MSE          =    {res} .73201

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}        z_fs_interest{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}feedback_pooled {c |}{col 23}{res}{space 2}  .074276{col 35}{space 2} .0585203{col 46}{space 1}    1.27{col 55}{space 3}0.205{col 63}{space 4}-.0405702{col 76}{space 3} .1891221
{txt}{space 3}no_feedback_pooled {c |}{col 23}{res}{space 2}-.0264312{col 35}{space 2} .0585026{col 46}{space 1}   -0.45{col 55}{space 3}0.652{col 63}{space 4}-.1412427{col 76}{space 3} .0883804
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .6482607{col 35}{space 2} .0270661{col 46}{space 1}   23.95{col 55}{space 3}0.000{col 63}{space 4} .5951435{col 76}{space 3}  .701378
{txt}{space 15}female {c |}{col 23}{res}{space 2}-.0884811{col 35}{space 2} .0584692{col 46}{space 1}   -1.51{col 55}{space 3}0.131{col 63}{space 4}-.2032269{col 76}{space 3} .0262647
{txt}{space 18}age {c |}{col 23}{res}{space 2} .0020954{col 35}{space 2} .0018677{col 46}{space 1}    1.12{col 55}{space 3}0.262{col 63}{space 4}-.0015699{col 76}{space 3} .0057607
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}-.0037897{col 35}{space 2} .0021435{col 46}{space 1}   -1.77{col 55}{space 3}0.077{col 63}{space 4}-.0079963{col 76}{space 3} .0004169
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-.1175905{col 35}{space 2} .1297078{col 46}{space 1}   -0.91{col 55}{space 3}0.365{col 63}{space 4}-.3721422{col 76}{space 3} .1369612
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2} .1130278{col 35}{space 2} .0414834{col 46}{space 1}    2.72{col 55}{space 3}0.007{col 63}{space 4} .0316166{col 76}{space 3} .1944391
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2} .0518226{col 35}{space 2} .0273426{col 46}{space 1}    1.90{col 55}{space 3}0.058{col 63}{space 4}-.0018373{col 76}{space 3} .1054825
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.0469003{col 35}{space 2} .0270666{col 46}{space 1}   -1.73{col 55}{space 3}0.083{col 63}{space 4}-.1000185{col 76}{space 3} .0062178
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2}-.1291667{col 35}{space 2}  .065826{col 46}{space 1}   -1.96{col 55}{space 3}0.050{col 63}{space 4}-.2583504{col 76}{space 3} .0000169
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0014903{col 35}{space 2} .0008418{col 46}{space 1}   -1.77{col 55}{space 3}0.077{col 63}{space 4}-.0031423{col 76}{space 3} .0001617
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2}-.0415477{col 35}{space 2} .0689794{col 46}{space 1}   -0.60{col 55}{space 3}0.547{col 63}{space 4}-.1769198{col 76}{space 3} .0938244
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2}-.0166509{col 35}{space 2} .0997835{col 46}{space 1}   -0.17{col 55}{space 3}0.868{col 63}{space 4}-.2124762{col 76}{space 3} .1791745
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2}-.0004036{col 35}{space 2} .0590138{col 46}{space 1}   -0.01{col 55}{space 3}0.995{col 63}{space 4}-.1162184{col 76}{space 3} .1154111
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .0536775{col 35}{space 2} .0676318{col 46}{space 1}    0.79{col 55}{space 3}0.428{col 63}{space 4}  -.07905{col 76}{space 3}  .186405
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .0075064{col 35}{space 2} .0853604{col 46}{space 1}    0.09{col 55}{space 3}0.930{col 63}{space 4}-.1600135{col 76}{space 3} .1750263
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2}-.0425755{col 35}{space 2} .0671994{col 46}{space 1}   -0.63{col 55}{space 3}0.527{col 63}{space 4}-.1744545{col 76}{space 3} .0893035
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .1713617{col 35}{space 2} .0970774{col 46}{space 1}    1.77{col 55}{space 3}0.078{col 63}{space 4}-.0191528{col 76}{space 3} .3618763
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_inter~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .074276{col 26}{space 2} .0585203{col 37}{space 1}    1.27{col 46}{space 3}0.205{col 54}{space 4}-.0405702{col 67}{space 3} .1891221
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}no_feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_inter~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0264312{col 26}{space 2} .0585026{col 37}{space 1}   -0.45{col 46}{space 3}0.652{col 54}{space 4}-.1412427{col 67}{space 3} .0883804
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}feedback_pooled - no_feedback_pooled = 0{p_end}

{txt}       F(  1,   936) ={res}    2.95
{txt}{col 13}Prob > F ={res}    0.0864
{txt}
{com}.         
.         
. 
.          
. loc rowlabels " "\textbf{c -(}Panel A: Main effects{c )-} " " " "Any voice treatment" " " " " "\hline  " "\textbf{c -(}Panel B: Type of voice{c )-} \\ " " Instrumental" " " " "  "Intrinsic" " " " "  "\hline p(Instrumental = Intrinsic)" " \hline"  "\textbf{c -(}Panel C: Feedback announcement{c )-} \\ " " " "Feedback announcement" " " " "  "No feedback announcement" " " " "  "\hline p(Feedback = No feedback)" " \hline Control mean" "Number of Observations" "Controls" "
{txt}
{com}. 
. loc rowstats ""
{txt}
{com}. 
. forval i = 1/26 {c -(}
{txt}  2{com}.     loc rowstats "`rowstats' thisstat`i'"
{txt}  3{com}. {c )-}
{txt}
{com}. 
. 
. 
. esttab col* using "$output/treat_fs_pooled_3panel.tex", replace cells(none) booktabs nonotes  compress alignment(c) nogap noobs nobaselevels label stats(`rowstats', labels(`rowlabels'))  mtitle("Voice index"  "Diff through engagement"  "Being heard" "Feels connection" "Party interested" )
{res}{txt}(output written to {browse  `"/Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/output/treat_fs_pooled_3panel.tex"'})

{com}. 
. 
. 
{txt}end of do-file

{com}. do "$scripts/tables/Table_A12_treat_effective_pooled_3panel.do"
{txt}
{com}. 
. use "$data/clean/clean_main_complete.dta" , replace
{txt}
{com}. 
. 
. loc experiments " z_fs_effective"
{txt}
{com}. 
.                                    
.                    
. preserve
{txt}
{com}. 
. clear all
{res}{txt}
{com}. eststo clear
{txt}
{com}. estimates drop _all
{txt}
{com}. 
. set obs 10
{txt}{p}
number of observations (_N)  was 0,
now 10
{p_end}

{com}. qui gen x = 1
{txt}
{com}. qui gen y = 1
{txt}
{com}. 
. loc columns = 0
{txt}
{com}. 
. foreach choice in `experiments'  {c -(}
{txt}  2{com}. 
.     loc ++columns
{txt}  3{com}.     qui eststo col`columns': reg x y
{txt}  4{com}. 
. {c )-}
{txt}
{com}. 
. restore
{txt}
{com}. 
. 
. /* Statistics */
. 
. loc colnum = 1
{txt}
{com}. loc colnames ""
{txt}
{com}. 
. 
. foreach choice in `experiments' {c -(}
{txt}  2{com}. 
. /* Statistics */
. 
.  
. ********************************Panel A*****************************************
.         
. 
.         
.  xi: reg `choice' treat_any  , vce(r) // 
{txt}  3{com}.    
.    
.    
.     sigstar treat_any   , prec(3)
{txt}  4{com}.     estadd loc thisstat3 = "`r(bstar)'": col`colnum'
{txt}  5{com}.     estadd loc thisstat4 = "`r(sestar)'": col`colnum'
{txt}  6{com}.    
. 
.         
.         
.     loc ++colnum
{txt}  7{com}.     loc colnames "`colnames' `"`: var la `choice''"'"   
{txt}  8{com}.         
. 
.         {c )-}

{txt}Linear regression                               Number of obs     = {res}       955
                                                {txt}F(1, 953)         =  {res}     1.14
                                                {txt}Prob > F          = {res}    0.2850
                                                {txt}R-squared         = {res}    0.0012
                                                {txt}Root MSE          =    {res} .98535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}z_fs_effec~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treat_any {c |}{col 14}{res}{space 2}-.0724311{col 26}{space 2} .0677121{col 37}{space 1}   -1.07{col 46}{space 3}0.285{col 54}{space 4}-.2053132{col 67}{space 3}  .060451
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.78e-08{col 26}{space 2} .0553579{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.1086374{col 67}{space 3} .1086374
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat_any = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_effec~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0724311{col 26}{space 2} .0677121{col 37}{space 1}   -1.07{col 46}{space 3}0.285{col 54}{space 4}-.2053132{col 67}{space 3}  .060451
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         /* Statistics */
. 
. loc colnum = 1
{txt}
{com}. loc colnames ""
{txt}
{com}. 
. 
. foreach choice in `experiments' {c -(}
{txt}  2{com}. 
. /* Statistics */
. 
. 
. 
.  
.  
. ********************************Panel B*****************************************
.         
. 
.         
.    
.     xi: reg `choice'  voice_instrumental_pooled  voice_intrinsic_pooled , vce(r) // 
{txt}  3{com}.    
.    
.     sigstar  voice_instrumental_pooled   , prec(3)
{txt}  4{com}.     estadd loc thisstat8 = "`r(bstar)'": col`colnum'
{txt}  5{com}.     estadd loc thisstat9 = "`r(sestar)'": col`colnum'
{txt}  6{com}.    
.         sigstar voice_intrinsic_pooled  , prec(3)
{txt}  7{com}.     estadd loc thisstat11 = "`r(bstar)'": col`colnum'
{txt}  8{com}.     estadd loc thisstat12 = "`r(sestar)'": col`colnum'
{txt}  9{com}. 
.    
.    
.    
.         test    voice_instrumental_pooled = voice_intrinsic_pooled  
{txt} 10{com}.     estadd loc thisstat14 = string(`r(p)', "%9.2f"): col`colnum'
{txt} 11{com}. 
. 
.     loc ++colnum
{txt} 12{com}. 
. 
.         {c )-}

{txt}Linear regression                               Number of obs     = {res}       955
                                                {txt}F(2, 952)         =  {res}     0.64
                                                {txt}Prob > F          = {res}    0.5289
                                                {txt}R-squared         = {res}    0.0013
                                                {txt}Root MSE          =    {res} .98582

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}           z_fs_effective{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2}-.0842508{col 39}{space 2} .0762341{col 50}{space 1}   -1.11{col 59}{space 3}0.269{col 67}{space 4}-.2338571{col 80}{space 3} .0653556
{txt}{space 3}voice_intrinsic_pooled {c |}{col 27}{res}{space 2}-.0604982{col 39}{space 2} .0801041{col 50}{space 1}   -0.76{col 59}{space 3}0.450{col 67}{space 4}-.2176992{col 80}{space 3} .0967028
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 1.78e-08{col 39}{space 2} .0553869{col 50}{space 1}    0.00{col 59}{space 3}1.000{col 67}{space 4}-.1086946{col 80}{space 3} .1086946
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_effec~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0842508{col 26}{space 2} .0762341{col 37}{space 1}   -1.11{col 46}{space 3}0.269{col 54}{space 4}-.2338571{col 67}{space 3} .0653556
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_effec~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0604982{col 26}{space 2} .0801041{col 37}{space 1}   -0.76{col 46}{space 3}0.450{col 54}{space 4}-.2176992{col 67}{space 3} .0967028
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_instrumental_pooled - voice_intrinsic_pooled = 0{p_end}

{txt}       F(  1,   952) ={res}    0.09
{txt}{col 13}Prob > F ={res}    0.7610
{txt}
{com}.         
. 
.         /* Statistics */
. 
. loc colnum = 1
{txt}
{com}. loc colnames ""
{txt}
{com}. 
. 
. foreach choice in `experiments' {c -(}
{txt}  2{com}. 
. /* Statistics */
. 
. 
. 
.  
.  
. ********************************Panel A*****************************************
. 
.         
.  xi: reg `choice' feedback_pooled  no_feedback_pooled    , vce(r) // 
{txt}  3{com}.    
.          
.    
.     
.     sigstar feedback_pooled   , prec(3)
{txt}  4{com}.     estadd loc thisstat18 = "`r(bstar)'": col`colnum'
{txt}  5{com}.     estadd loc thisstat19 = "`r(sestar)'": col`colnum'
{txt}  6{com}.    
.     sigstar no_feedback_pooled , prec(3)
{txt}  7{com}.     estadd loc thisstat21 = "`r(bstar)'": col`colnum'
{txt}  8{com}.     estadd loc thisstat22 = "`r(sestar)'": col`colnum'
{txt}  9{com}.         
.                 
.         test     feedback_pooled  = no_feedback_pooled
{txt} 10{com}. 
.         estadd loc thisstat24 = string(`r(p)', "%9.2f"): col`colnum'
{txt} 11{com}.                  
.         qui sum `choice' if control==1
{txt} 12{com}.         estadd loc thisstat25 = string(`r(mean)', "%9.2f"): col`colnum'
{txt} 13{com}.         
.         qui sum `choice' 
{txt} 14{com}.     estadd loc thisstat26 = string(`r(N)', "%9.0f"): col`colnum'
{txt} 15{com}.         
.         
.                 qui sum `choice' 
{txt} 16{com}.     estadd loc thisstat27 = "X": col`colnum'
{txt} 17{com}. 
. 
.         
.     loc ++colnum
{txt} 18{com}. 
.         {c )-}

{txt}Linear regression                               Number of obs     = {res}       955
                                                {txt}F(2, 952)         =  {res}     0.57
                                                {txt}Prob > F          = {res}    0.5648
                                                {txt}R-squared         = {res}    0.0012
                                                {txt}Root MSE          =    {res} .98587

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}    z_fs_effective{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}feedback_pooled {c |}{col 20}{res}{space 2}-.0739759{col 32}{space 2} .0796283{col 43}{space 1}   -0.93{col 52}{space 3}0.353{col 60}{space 4}-.2302431{col 73}{space 3} .0822913
{txt}no_feedback_pooled {c |}{col 20}{res}{space 2}-.0710045{col 32}{space 2} .0768613{col 43}{space 1}   -0.92{col 52}{space 3}0.356{col 60}{space 4}-.2218416{col 73}{space 3} .0798327
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 1.78e-08{col 32}{space 2} .0553869{col 43}{space 1}    0.00{col 52}{space 3}1.000{col 60}{space 4}-.1086946{col 73}{space 3} .1086946
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_effec~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0739759{col 26}{space 2} .0796283{col 37}{space 1}   -0.93{col 46}{space 3}0.353{col 54}{space 4}-.2302431{col 67}{space 3} .0822913
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}no_feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_effec~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0710045{col 26}{space 2} .0768613{col 37}{space 1}   -0.92{col 46}{space 3}0.356{col 54}{space 4}-.2218416{col 67}{space 3} .0798327
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}feedback_pooled - no_feedback_pooled = 0{p_end}

{txt}       F(  1,   952) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9697
{txt}
{com}.         
.         
.         
. 
.         
.         
.          
. loc rowlabels " "\textbf{c -(}Panel A: Main effects{c )-} " " " "Any voice treatment" " " " " "\hline  " "\textbf{c -(}Panel B: Type of voice{c )-} \\ " " Instrumental" " " " "  "Intrinsic" " " " "  "\hline p(Instrumental = Intrinsic)" " \hline"  "\textbf{c -(}Panel C: Feedback announcement{c )-} \\ " " " "Feedback announcement" " " " "  "No feedback announcement" " " " "  "\hline p(Feedback = No feedback)" " \hline Control mean" "Number of Observations" "Controls" "
{txt}
{com}. 
. loc rowstats ""
{txt}
{com}. 
. forval i = 1/26 {c -(}
{txt}  2{com}.     loc rowstats "`rowstats' thisstat`i'"
{txt}  3{com}. {c )-}
{txt}
{com}. 
. 
. 
. esttab col* using "$output/treat_effective_pooled_3panel.tex", replace cells(none) booktabs nonotes nomtitle compress alignment(c) nogap noobs nobaselevels label stats(`rowstats', labels(`rowlabels')) ///
>  mgroups( "Effective campaign (z)",  pattern( 1 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}))
{res}{txt}(output written to {browse  `"/Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/output/treat_effective_pooled_3panel.tex"'})

{com}. 
. 
. 
{txt}end of do-file

{com}. do "$scripts/tables/Table_A13_balance.do"
{txt}
{com}. 
. 
. use "$data/clean/clean_main_complete.dta" , replace
{txt}
{com}. 
. 
. tempfile main
{txt}
{com}. save `main', replace
{txt}(note: file /var/folders/kh/c_7hg45109q4mrtxd_bnv5t00000gn/T//S_01965.000001 not found)
file /var/folders/kh/c_7hg45109q4mrtxd_bnv5t00000gn/T//S_01965.000001 saved

{com}. 
. clear all
{res}{txt}
{com}. eststo clear
{txt}
{com}. estimates drop _all
{txt}
{com}. 
. loc columns = 6
{txt}
{com}. 
. set obs 10
{txt}{p}
number of observations (_N)  was 0,
now 10
{p_end}

{com}. gen x = 1
{txt}
{com}. gen y = 1
{txt}
{com}. 
. forval i = 1/`columns' {c -(}
{txt}  2{com}.         eststo col`i': reg x y
{txt}  3{com}. {c )-} 
{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. loc count = 1
{txt}
{com}. 
. loc statnames ""
{txt}
{com}. loc varlabels ""
{txt}
{com}. 
. /* Custom fill cells */
. 
. 
. 
. use `main', clear
{txt}
{com}. 
. 
. 
. gen pana=.
{txt}(1,007 missing values generated)

{com}. gen panb=.
{txt}(1,007 missing values generated)

{com}. gen panc=.
{txt}(1,007 missing values generated)

{com}. gen pand=.
{txt}(1,007 missing values generated)

{com}. gen pane=.
{txt}(1,007 missing values generated)

{com}. gen intt= .
{txt}(1,007 missing values generated)

{com}. gen empt =. 
{txt}(1,007 missing values generated)

{com}. gen part_aff = .
{txt}(1,007 missing values generated)

{com}. 
. label var pana "\underline{c -(}Individual level characteristics{c )-} " 
{txt}
{com}. label var panb "\underline{c -(}Prior experience{c )-} " 
{txt}
{com}. 
. label var empt " "
{txt}
{com}.   
.   foreach yvar of varlist pana  female age member member_years voice_prior  z_votes_own z_votes_other_1 z_votes_other_2 ///
>  empt panb d_experience_campaign pre_doortodoor pre_days_doortodoor pre_posters pre_booth pre_online pre_call pre_friends pre_others empt {c -(}
{txt}  2{com}.         qui sum `yvar', d
{txt}  3{com}.         if `r(N)'!=0 {c -(}
{txt}  4{com}.         qui sum `yvar' if  control ==1
{txt}  5{com}.         cap: estadd loc thisstat`count' = string(`r(mean)', "%9.2f"): col1
{txt}  6{com}.         
.         qui sum `yvar' if voice_instrumental ==1
{txt}  7{com}.         cap: estadd loc thisstat`count' = string(`r(mean)', "%9.2f"): col2
{txt}  8{com}.         
.         qui sum `yvar' if voice_feedback_instrumental ==1
{txt}  9{com}.         cap: estadd loc thisstat`count' = string(`r(mean)', "%9.2f"): col3
{txt} 10{com}.         
.         qui sum `yvar' if voice_intrinsic==1
{txt} 11{com}.         cap: estadd loc thisstat`count' = string(`r(mean)', "%9.2f"): col4
{txt} 12{com}.         
.         qui sum `yvar' if voice_feedback_intrinsic ==1
{txt} 13{com}.         cap: estadd loc thisstat`count' = string(`r(mean)', "%9.2f"): col5
{txt} 14{com}.         
.         reg `yvar' voice_instrumental voice_intrinsic voice_feedback_intrinsic voice_feedback_instrumental , r
{txt} 15{com}.         test voice_instrumental voice_intrinsic voice_feedback_intrinsic voice_feedback_instrumental
{txt} 16{com}. 
.         
.         cap: estadd loc thisstat`count' = string(r(p), "%9.2f"): col6
{txt} 17{com}. 
.         {c )-}
{txt} 18{com}. 
.         /* Row Labels */
.         
.         loc thisvarlabel: variable label `yvar'
{txt} 19{com}.         local varlabels "`varlabels' "`thisvarlabel'" "
{txt} 20{com}.         loc statnames "`statnames' thisstat`count'"
{txt} 21{com}.         loc count = `count' + 1
{txt} 22{com}. {c )-}

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(4, 1002)        =  {res}     0.41
                                                {txt}Prob > F          = {res}    0.8022
                                                {txt}R-squared         = {res}    0.0016
                                                {txt}Root MSE          =    {res} .40187

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                     female{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2}  .001272{col 41}{space 2} .0379993{col 52}{space 1}    0.03{col 61}{space 3}0.973{col 69}{space 4}-.0732952{col 82}{space 3} .0758393
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2}-.0342564{col 41}{space 2} .0369967{col 52}{space 1}   -0.93{col 61}{space 3}0.355{col 69}{space 4}-.1068564{col 82}{space 3} .0383435
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} .0112829{col 41}{space 2} .0390282{col 52}{space 1}    0.29{col 61}{space 3}0.773{col 69}{space 4}-.0653034{col 82}{space 3} .0878692
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2}  -.02377{col 41}{space 2} .0378411{col 52}{space 1}   -0.63{col 61}{space 3}0.530{col 69}{space 4} -.098027{col 82}{space 3} .0504869
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .2089552{col 41}{space 2} .0222682{col 52}{space 1}    9.38{col 61}{space 3}0.000{col 69}{space 4} .1652575{col 82}{space 3} .2526529
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} voice_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} voice_feedback_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} voice_feedback_instrumental = 0{p_end}

{txt}       F(  4,  1002) ={res}    0.41
{txt}{col 13}Prob > F ={res}    0.8022

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(4, 1002)        =  {res}     0.90
                                                {txt}Prob > F          = {res}    0.4652
                                                {txt}R-squared         = {res}    0.0036
                                                {txt}Root MSE          =    {res} 17.395

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                        age{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2} .2705224{col 41}{space 2}  1.60412{col 52}{space 1}    0.17{col 61}{space 3}0.866{col 69}{space 4}-2.877298{col 82}{space 3} 3.418342
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2}-2.092429{col 41}{space 2} 1.680063{col 52}{space 1}   -1.25{col 61}{space 3}0.213{col 69}{space 4}-5.389275{col 82}{space 3} 1.204416
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2}-2.062811{col 41}{space 2} 1.657348{col 52}{space 1}   -1.24{col 61}{space 3}0.214{col 69}{space 4}-5.315081{col 82}{space 3}  1.18946
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} .2782384{col 41}{space 2}   1.6377{col 52}{space 1}    0.17{col 61}{space 3}0.865{col 69}{space 4}-2.935477{col 82}{space 3} 3.491954
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 48.10448{col 41}{space 2} .9440293{col 52}{space 1}   50.96{col 61}{space 3}0.000{col 69}{space 4} 46.25198{col 82}{space 3} 49.95698
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} voice_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} voice_feedback_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} voice_feedback_instrumental = 0{p_end}

{txt}       F(  4,  1002) ={res}    0.90
{txt}{col 13}Prob > F ={res}    0.4652

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(4, 1002)        =  {res}     0.76
                                                {txt}Prob > F          = {res}    0.5516
                                                {txt}R-squared         = {res}    0.0029
                                                {txt}Root MSE          =    {res} 15.304

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}               member_years{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2}-.4939501{col 41}{space 2} 1.412333{col 52}{space 1}   -0.35{col 61}{space 3}0.727{col 69}{space 4}-3.265419{col 82}{space 3} 2.277519
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2} .1023053{col 41}{space 2} 1.452501{col 52}{space 1}    0.07{col 61}{space 3}0.944{col 69}{space 4}-2.747988{col 82}{space 3} 2.952599
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} 1.071661{col 41}{space 2} 1.487054{col 52}{space 1}    0.72{col 61}{space 3}0.471{col 69}{space 4}-1.846437{col 82}{space 3} 3.989759
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} 1.983147{col 41}{space 2} 1.435164{col 52}{space 1}    1.38{col 61}{space 3}0.167{col 69}{space 4}-.8331251{col 82}{space 3}  4.79942
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 15.12179{col 41}{space 2} .8339434{col 52}{space 1}   18.13{col 61}{space 3}0.000{col 69}{space 4} 13.48532{col 82}{space 3} 16.75827
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} voice_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} voice_feedback_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} voice_feedback_instrumental = 0{p_end}

{txt}       F(  4,  1002) ={res}    0.76
{txt}{col 13}Prob > F ={res}    0.5516

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(4, 1002)        =  {res}     0.76
                                                {txt}Prob > F          = {res}    0.5516
                                                {txt}R-squared         = {res}    0.0029
                                                {txt}Root MSE          =    {res} 15.304

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}               member_years{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2}-.4939501{col 41}{space 2} 1.412333{col 52}{space 1}   -0.35{col 61}{space 3}0.727{col 69}{space 4}-3.265419{col 82}{space 3} 2.277519
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2} .1023053{col 41}{space 2} 1.452501{col 52}{space 1}    0.07{col 61}{space 3}0.944{col 69}{space 4}-2.747988{col 82}{space 3} 2.952599
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} 1.071661{col 41}{space 2} 1.487054{col 52}{space 1}    0.72{col 61}{space 3}0.471{col 69}{space 4}-1.846437{col 82}{space 3} 3.989759
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} 1.983147{col 41}{space 2} 1.435164{col 52}{space 1}    1.38{col 61}{space 3}0.167{col 69}{space 4}-.8331251{col 82}{space 3}  4.79942
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 15.12179{col 41}{space 2} .8339434{col 52}{space 1}   18.13{col 61}{space 3}0.000{col 69}{space 4} 13.48532{col 82}{space 3} 16.75827
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} voice_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} voice_feedback_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} voice_feedback_instrumental = 0{p_end}

{txt}       F(  4,  1002) ={res}    0.76
{txt}{col 13}Prob > F ={res}    0.5516

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(4, 1002)        =  {res}     1.01
                                                {txt}Prob > F          = {res}    0.3988
                                                {txt}R-squared         = {res}    0.0038
                                                {txt}Root MSE          =    {res}  1.236

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                voice_prior{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2} .1252035{col 41}{space 2} .1139543{col 52}{space 1}    1.10{col 61}{space 3}0.272{col 69}{space 4}-.0984128{col 82}{space 3} .3488199
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2} .0974105{col 41}{space 2}  .118779{col 52}{space 1}    0.82{col 61}{space 3}0.412{col 69}{space 4}-.1356736{col 82}{space 3} .3304947
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} .2139481{col 41}{space 2} .1130869{col 52}{space 1}    1.89{col 61}{space 3}0.059{col 69}{space 4}-.0079661{col 82}{space 3} .4358624
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} .0347153{col 41}{space 2} .1218773{col 52}{space 1}    0.28{col 61}{space 3}0.776{col 69}{space 4}-.2044486{col 82}{space 3} .2738793
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 3.113433{col 41}{space 2}  .066491{col 52}{space 1}   46.82{col 61}{space 3}0.000{col 69}{space 4} 2.982955{col 82}{space 3}  3.24391
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} voice_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} voice_feedback_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} voice_feedback_instrumental = 0{p_end}

{txt}       F(  4,  1002) ={res}    1.01
{txt}{col 13}Prob > F ={res}    0.3988

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(4, 1002)        =  {res}     1.18
                                                {txt}Prob > F          = {res}    0.3197
                                                {txt}R-squared         = {res}    0.0046
                                                {txt}Root MSE          =    {res} .92012

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                z_votes_own{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2}-.0780331{col 41}{space 2} .0778207{col 52}{space 1}   -1.00{col 61}{space 3}0.316{col 69}{space 4}-.2307434{col 82}{space 3} .0746771
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2}-.1496987{col 41}{space 2} .0863714{col 52}{space 1}   -1.73{col 61}{space 3}0.083{col 69}{space 4}-.3191882{col 82}{space 3} .0197907
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} -.147513{col 41}{space 2} .0764583{col 52}{space 1}   -1.93{col 61}{space 3}0.054{col 69}{space 4}-.2975496{col 82}{space 3} .0025237
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2}-.1189287{col 41}{space 2} .1063773{col 52}{space 1}   -1.12{col 61}{space 3}0.264{col 69}{space 4}-.3276765{col 82}{space 3}  .089819
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .0083598{col 41}{space 2} .0576997{col 52}{space 1}    0.14{col 61}{space 3}0.885{col 69}{space 4}-.1048663{col 82}{space 3} .1215858
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} voice_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} voice_feedback_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} voice_feedback_instrumental = 0{p_end}

{txt}       F(  4,  1002) ={res}    1.18
{txt}{col 13}Prob > F ={res}    0.3197

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(4, 1002)        =  {res}     0.45
                                                {txt}Prob > F          = {res}    0.7714
                                                {txt}R-squared         = {res}    0.0014
                                                {txt}Root MSE          =    {res} .99874

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}            z_votes_other_1{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2} .0448422{col 41}{space 2} .0840464{col 52}{space 1}    0.53{col 61}{space 3}0.594{col 69}{space 4}-.1200849{col 82}{space 3} .2097693
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2} .0417343{col 41}{space 2} .1168486{col 52}{space 1}    0.36{col 61}{space 3}0.721{col 69}{space 4}-.1875617{col 82}{space 3} .2710303
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2}-.0672197{col 41}{space 2} .0866894{col 52}{space 1}   -0.78{col 61}{space 3}0.438{col 69}{space 4}-.2373333{col 82}{space 3} .1028938
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2}  .009979{col 41}{space 2} .0872755{col 52}{space 1}    0.11{col 61}{space 3}0.909{col 69}{space 4}-.1612848{col 82}{space 3} .1812427
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-.0005204{col 41}{space 2} .0577174{col 52}{space 1}   -0.01{col 61}{space 3}0.993{col 69}{space 4}-.1137813{col 82}{space 3} .1127405
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} voice_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} voice_feedback_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} voice_feedback_instrumental = 0{p_end}

{txt}       F(  4,  1002) ={res}    0.45
{txt}{col 13}Prob > F ={res}    0.7714

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(4, 1002)        =  {res}     1.11
                                                {txt}Prob > F          = {res}    0.3492
                                                {txt}R-squared         = {res}    0.0044
                                                {txt}Root MSE          =    {res} 1.0289

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}            z_votes_other_2{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2}-.0618045{col 41}{space 2} .0857536{col 52}{space 1}   -0.72{col 61}{space 3}0.471{col 69}{space 4}-.2300816{col 82}{space 3} .1064727
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2} .0653078{col 41}{space 2} .1166276{col 52}{space 1}    0.56{col 61}{space 3}0.576{col 69}{space 4}-.1635546{col 82}{space 3} .2941702
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2}-.0289536{col 41}{space 2} .0928049{col 52}{space 1}   -0.31{col 61}{space 3}0.755{col 69}{space 4}-.2110678{col 82}{space 3} .1531606
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2}-.1595344{col 41}{space 2} .0921826{col 52}{space 1}   -1.73{col 61}{space 3}0.084{col 69}{space 4}-.3404273{col 82}{space 3} .0213586
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .0031104{col 41}{space 2}  .057715{col 52}{space 1}    0.05{col 61}{space 3}0.957{col 69}{space 4}-.1101458{col 82}{space 3} .1163666
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} voice_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} voice_feedback_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} voice_feedback_instrumental = 0{p_end}

{txt}       F(  4,  1002) ={res}    1.11
{txt}{col 13}Prob > F ={res}    0.3492

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(4, 1002)        =  {res}     0.96
                                                {txt}Prob > F          = {res}    0.4305
                                                {txt}R-squared         = {res}    0.0034
                                                {txt}Root MSE          =    {res} .41687

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}      d_experience_campaign{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2}-.0231343{col 41}{space 2} .0399605{col 52}{space 1}   -0.58{col 61}{space 3}0.563{col 69}{space 4}-.1015503{col 82}{space 3} .0552816
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2}-.0140982{col 41}{space 2} .0404165{col 52}{space 1}   -0.35{col 61}{space 3}0.727{col 69}{space 4}-.0934089{col 82}{space 3} .0652125
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} .0066276{col 41}{space 2} .0394146{col 52}{space 1}    0.17{col 61}{space 3}0.866{col 69}{space 4} -.070717{col 82}{space 3} .0839722
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} .0540262{col 41}{space 2} .0375912{col 52}{space 1}    1.44{col 61}{space 3}0.151{col 69}{space 4}-.0197403{col 82}{space 3} .1277927
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .7731343{col 41}{space 2} .0229388{col 52}{space 1}   33.70{col 61}{space 3}0.000{col 69}{space 4} .7281208{col 82}{space 3} .8181479
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} voice_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} voice_feedback_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} voice_feedback_instrumental = 0{p_end}

{txt}       F(  4,  1002) ={res}    0.96
{txt}{col 13}Prob > F ={res}    0.4305

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(4, 1002)        =  {res}     1.54
                                                {txt}Prob > F          = {res}    0.1880
                                                {txt}R-squared         = {res}    0.0060
                                                {txt}Root MSE          =    {res} .49962

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}             pre_doortodoor{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2}  -.03231{col 41}{space 2} .0465654{col 52}{space 1}   -0.69{col 61}{space 3}0.488{col 69}{space 4}-.1236869{col 82}{space 3} .0590668
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2} .0315591{col 41}{space 2} .0475379{col 52}{space 1}    0.66{col 61}{space 3}0.507{col 69}{space 4}-.0617261{col 82}{space 3} .1248443
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} .0193674{col 41}{space 2} .0473761{col 52}{space 1}    0.41{col 61}{space 3}0.683{col 69}{space 4}-.0736004{col 82}{space 3} .1123353
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} .0938824{col 41}{space 2} .0474806{col 52}{space 1}    1.98{col 61}{space 3}0.048{col 69}{space 4} .0007097{col 82}{space 3} .1870552
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .4925373{col 41}{space 2} .0273829{col 52}{space 1}   17.99{col 61}{space 3}0.000{col 69}{space 4} .4388028{col 82}{space 3} .5462718
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} voice_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} voice_feedback_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} voice_feedback_instrumental = 0{p_end}

{txt}       F(  4,  1002) ={res}    1.54
{txt}{col 13}Prob > F ={res}    0.1880

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(4, 1002)        =  {res}     0.92
                                                {txt}Prob > F          = {res}    0.4520
                                                {txt}R-squared         = {res}    0.0034
                                                {txt}Root MSE          =    {res}  32.63

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}        pre_days_doortodoor{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2}-3.478256{col 41}{space 2} 2.894055{col 52}{space 1}   -1.20{col 61}{space 3}0.230{col 69}{space 4}-9.157359{col 82}{space 3} 2.200846
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2} 1.588419{col 41}{space 2} 3.209591{col 52}{space 1}    0.49{col 61}{space 3}0.621{col 69}{space 4}-4.709872{col 82}{space 3} 7.886711
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} 2.405402{col 41}{space 2} 3.382741{col 52}{space 1}    0.71{col 61}{space 3}0.477{col 69}{space 4}-4.232668{col 82}{space 3} 9.043471
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2}-.9023586{col 41}{space 2} 2.819644{col 52}{space 1}   -0.32{col 61}{space 3}0.749{col 69}{space 4}-6.435443{col 82}{space 3} 4.630726
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 13.78507{col 41}{space 2} 1.895772{col 52}{space 1}    7.27{col 61}{space 3}0.000{col 69}{space 4} 10.06494{col 82}{space 3} 17.50521
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} voice_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} voice_feedback_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} voice_feedback_instrumental = 0{p_end}

{txt}       F(  4,  1002) ={res}    0.92
{txt}{col 13}Prob > F ={res}    0.4520

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(4, 1002)        =  {res}     1.18
                                                {txt}Prob > F          = {res}    0.3180
                                                {txt}R-squared         = {res}    0.0046
                                                {txt}Root MSE          =    {res} .48482

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                pre_posters{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2} .0536974{col 41}{space 2} .0450155{col 52}{space 1}    1.19{col 61}{space 3}0.233{col 69}{space 4} -.034638{col 82}{space 3} .1420329
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2}-.0036684{col 41}{space 2} .0467715{col 52}{space 1}   -0.08{col 61}{space 3}0.937{col 69}{space 4}-.0954497{col 82}{space 3} .0881129
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} .0369225{col 41}{space 2} .0460044{col 52}{space 1}    0.80{col 61}{space 3}0.422{col 69}{space 4}-.0533535{col 82}{space 3} .1271985
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} .0849825{col 41}{space 2} .0455585{col 52}{space 1}    1.87{col 61}{space 3}0.062{col 69}{space 4}-.0044186{col 82}{space 3} .1743836
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .5940299{col 41}{space 2} .0268974{col 52}{space 1}   22.09{col 61}{space 3}0.000{col 69}{space 4} .5412482{col 82}{space 3} .6468115
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} voice_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} voice_feedback_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} voice_feedback_instrumental = 0{p_end}

{txt}       F(  4,  1002) ={res}    1.18
{txt}{col 13}Prob > F ={res}    0.3180

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(4, 1002)        =  {res}     1.76
                                                {txt}Prob > F          = {res}    0.1354
                                                {txt}R-squared         = {res}    0.0068
                                                {txt}Root MSE          =    {res} .46035

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                  pre_booth{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2}-.0624322{col 41}{space 2} .0440101{col 52}{space 1}   -1.42{col 61}{space 3}0.156{col 69}{space 4}-.1487947{col 82}{space 3} .0239304
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2}-.0478511{col 41}{space 2} .0446047{col 52}{space 1}   -1.07{col 61}{space 3}0.284{col 69}{space 4}-.1353805{col 82}{space 3} .0396782
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2}-.0020967{col 41}{space 2}  .043302{col 52}{space 1}   -0.05{col 61}{space 3}0.961{col 69}{space 4}-.0870697{col 82}{space 3} .0828764
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} .0547816{col 41}{space 2} .0419344{col 52}{space 1}    1.31{col 61}{space 3}0.192{col 69}{space 4}-.0275076{col 82}{space 3} .1370709
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .7044776{col 41}{space 2} .0249912{col 52}{space 1}   28.19{col 61}{space 3}0.000{col 69}{space 4} .6554365{col 82}{space 3} .7535187
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} voice_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} voice_feedback_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} voice_feedback_instrumental = 0{p_end}

{txt}       F(  4,  1002) ={res}    1.76
{txt}{col 13}Prob > F ={res}    0.1354

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(4, 1002)        =  {res}     1.23
                                                {txt}Prob > F          = {res}    0.2945
                                                {txt}R-squared         = {res}    0.0049
                                                {txt}Root MSE          =    {res} .49778

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                 pre_online{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2} .0536805{col 41}{space 2} .0463973{col 52}{space 1}    1.16{col 61}{space 3}0.248{col 69}{space 4}-.0373666{col 82}{space 3} .1447275
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2} .0640173{col 41}{space 2} .0473428{col 52}{space 1}    1.35{col 61}{space 3}0.177{col 69}{space 4}-.0288851{col 82}{space 3} .1569196
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} .0047086{col 41}{space 2} .0467919{col 52}{space 1}    0.10{col 61}{space 3}0.920{col 69}{space 4}-.0871127{col 82}{space 3} .0965299
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} .0882624{col 41}{space 2} .0477541{col 52}{space 1}    1.85{col 61}{space 3}0.065{col 69}{space 4}-.0054471{col 82}{space 3} .1819718
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .4179104{col 41}{space 2} .0270144{col 52}{space 1}   15.47{col 61}{space 3}0.000{col 69}{space 4} .3648992{col 82}{space 3} .4709217
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} voice_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} voice_feedback_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} voice_feedback_instrumental = 0{p_end}

{txt}       F(  4,  1002) ={res}    1.23
{txt}{col 13}Prob > F ={res}    0.2945

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(4, 1002)        =  {res}     0.30
                                                {txt}Prob > F          = {res}    0.8797
                                                {txt}R-squared         = {res}    0.0012
                                                {txt}Root MSE          =    {res} .39356

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                   pre_call{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2}-.0089383{col 41}{space 2} .0357921{col 52}{space 1}   -0.25{col 61}{space 3}0.803{col 69}{space 4}-.0791744{col 82}{space 3} .0612979
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2} .0257687{col 41}{space 2} .0382074{col 52}{space 1}    0.67{col 61}{space 3}0.500{col 69}{space 4}-.0492069{col 82}{space 3} .1007444
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} .0232587{col 41}{space 2} .0379353{col 52}{space 1}    0.61{col 61}{space 3}0.540{col 69}{space 4}-.0511831{col 82}{space 3} .0977005
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2}-.0060623{col 41}{space 2}  .036935{col 52}{space 1}   -0.16{col 61}{space 3}0.870{col 69}{space 4} -.078541{col 82}{space 3} .0664165
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .1850746{col 41}{space 2} .0212711{col 52}{space 1}    8.70{col 61}{space 3}0.000{col 69}{space 4} .1433335{col 82}{space 3} .2268157
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} voice_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} voice_feedback_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} voice_feedback_instrumental = 0{p_end}

{txt}       F(  4,  1002) ={res}    0.30
{txt}{col 13}Prob > F ={res}    0.8797

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(4, 1002)        =  {res}     0.93
                                                {txt}Prob > F          = {res}    0.4448
                                                {txt}R-squared         = {res}    0.0036
                                                {txt}Root MSE          =    {res} .47323

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                pre_friends{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2}-.0379749{col 41}{space 2} .0446619{col 52}{space 1}   -0.85{col 61}{space 3}0.395{col 69}{space 4}-.1256164{col 82}{space 3} .0496667
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2}-.0361266{col 41}{space 2} .0455177{col 52}{space 1}   -0.79{col 61}{space 3}0.428{col 69}{space 4}-.1254475{col 82}{space 3} .0531943
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2}-.0079424{col 41}{space 2} .0447847{col 52}{space 1}   -0.18{col 61}{space 3}0.859{col 69}{space 4}-.0958249{col 82}{space 3} .0799401
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} .0473927{col 41}{space 2} .0438862{col 52}{space 1}    1.08{col 61}{space 3}0.280{col 69}{space 4}-.0387267{col 82}{space 3} .1335121
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .6686567{col 41}{space 2}  .025781{col 52}{space 1}   25.94{col 61}{space 3}0.000{col 69}{space 4} .6180658{col 82}{space 3} .7192476
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} voice_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} voice_feedback_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} voice_feedback_instrumental = 0{p_end}

{txt}       F(  4,  1002) ={res}    0.93
{txt}{col 13}Prob > F ={res}    0.4448

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(4, 1002)        =  {res}     0.43
                                                {txt}Prob > F          = {res}    0.7859
                                                {txt}R-squared         = {res}    0.0019
                                                {txt}Root MSE          =    {res} .33692

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                 pre_others{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2} .0169607{col 41}{space 2} .0314311{col 52}{space 1}    0.54{col 61}{space 3}0.590{col 69}{space 4}-.0447177{col 82}{space 3}  .078639
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2}  .007103{col 41}{space 2} .0313757{col 52}{space 1}    0.23{col 61}{space 3}0.821{col 69}{space 4}-.0544665{col 82}{space 3} .0686726
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2}-.0003554{col 41}{space 2} .0307052{col 52}{space 1}   -0.01{col 61}{space 3}0.991{col 69}{space 4}-.0606092{col 82}{space 3} .0598984
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} .0410908{col 41}{space 2} .0339306{col 52}{space 1}    1.21{col 61}{space 3}0.226{col 69}{space 4}-.0254923{col 82}{space 3}  .107674
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}  .119403{col 41}{space 2} .0177605{col 52}{space 1}    6.72{col 61}{space 3}0.000{col 69}{space 4}  .084551{col 82}{space 3}  .154255
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} voice_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} voice_feedback_intrinsic = 0{p_end}
{p 0 7}{space 1}{text:( 4)}{space 1} voice_feedback_instrumental = 0{p_end}

{txt}       F(  4,  1002) ={res}    0.43
{txt}{col 13}Prob > F ={res}    0.7859
{txt}
{com}. 
.   
. 
. /* Footnotes */
. 
. loc prehead "\begin{c -(}tabular{c )-}{c -(}l*{c -(}`columns'{c )-}{c -(}c{c )-}{c )-} \toprule"
{txt}
{com}. 
. loc postfoot "\bottomrule \end{c -(}tabular{c )-}"
{txt}
{com}. 
. esttab col* using "$output/balance_detailed_main", booktabs cells(none) nonum nogap mtitle("Control" "Instrumental" "Instrumental + Feedback" "Intrinsic" "Intrinsic + Feedback" "p-value joint significance") ///
>  stats(`statnames', labels(`varlabels'))  prehead("`prehead'") postfoot("`postfoot'") compress wrap replace
{res}{txt}(output written to {browse  `"/Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/output/balance_detailed_main.tex"'})

{com}. 
. eststo clear
{txt}
{com}. 
. 
. 
. 
. 
{txt}end of do-file

{com}. do "$scripts/tables/Table_A14_treat_doors_detail.do"
{txt}
{com}. 
. 
. use "$data/clean/clean_main_complete.dta" , replace
{txt}
{com}.  
.                    
. loc experiments " any_doors  doors_wins z_score_fs"
{txt}
{com}. 
.                    
.                    
. preserve
{txt}
{com}. 
. clear all
{res}{txt}
{com}. eststo clear
{txt}
{com}. estimates drop _all
{txt}
{com}. 
. set obs 10
{txt}{p}
number of observations (_N)  was 0,
now 10
{p_end}

{com}. qui gen x = 1
{txt}
{com}. qui gen y = 1
{txt}
{com}. 
. loc columns = 0
{txt}
{com}. 
. foreach choice in `experiments' `experiments'  {c -(}
{txt}  2{com}. 
.     loc ++columns
{txt}  3{com}.     qui eststo col`columns': reg x y
{txt}  4{com}. 
. {c )-}
{txt}
{com}. 
. restore
{txt}
{com}. 
. 
. 
. loc colnum = 1
{txt}
{com}. loc colnames ""
{txt}
{com}. 
. 
. foreach choice in `experiments' {c -(}
{txt}  2{com}. 
. /* Statistics */
. 
. 
. 
.  
. ********************************Panel B*****************************************
.         
.  xi: reg `choice'  voice_instrumental voice_intrinsic voice_feedback_intrinsic voice_feedback_instrumental  , vce(r) // 
{txt}  3{com}.    
.    
.     sigstar voice_instrumental   , prec(3)
{txt}  4{com}.     estadd loc thisstat3 = "`r(bstar)'": col`colnum'
{txt}  5{com}.     estadd loc thisstat4 = "`r(sestar)'": col`colnum'
{txt}  6{com}.    
.     sigstar voice_feedback_instrumental , prec(3)
{txt}  7{com}.     estadd loc thisstat6 = "`r(bstar)'": col`colnum'
{txt}  8{com}.     estadd loc thisstat7 = "`r(sestar)'": col`colnum'
{txt}  9{com}.         
.         sigstar  voice_intrinsic , prec(3)
{txt} 10{com}.     estadd loc thisstat9 = "`r(bstar)'": col`colnum'
{txt} 11{com}.     estadd loc thisstat10 = "`r(sestar)'": col`colnum'
{txt} 12{com}.                 
.         sigstar voice_feedback_intrinsic , prec(3)
{txt} 13{com}.     estadd loc thisstat12 = "`r(bstar)'": col`colnum'
{txt} 14{com}.     estadd loc thisstat13 = "`r(sestar)'": col`colnum'
{txt} 15{com}. 
.                 
.                  
.         qui sum `choice' if control==1
{txt} 16{com}.         estadd loc thisstat15 = string(`r(mean)', "%9.2f"): col`colnum'
{txt} 17{com}.         
.         qui sum `choice' 
{txt} 18{com}.     estadd loc thisstat16 = string(`r(N)', "%9.0f"): col`colnum'
{txt} 19{com}.         
.         
.         
.     loc ++colnum
{txt} 20{com}. 
.         
.         
.          
.  xi: reg `choice'  voice_instrumental voice_intrinsic voice_feedback_intrinsic voice_feedback_instrumental $control , vce(r) // 
{txt} 21{com}.    
.    
.     sigstar voice_instrumental   , prec(3)
{txt} 22{com}.     estadd loc thisstat3 = "`r(bstar)'": col`colnum'
{txt} 23{com}.     estadd loc thisstat4 = "`r(sestar)'": col`colnum'
{txt} 24{com}.    
.     sigstar voice_feedback_instrumental , prec(3)
{txt} 25{com}.     estadd loc thisstat6 = "`r(bstar)'": col`colnum'
{txt} 26{com}.     estadd loc thisstat7 = "`r(sestar)'": col`colnum'
{txt} 27{com}.         
.         sigstar  voice_intrinsic , prec(3)
{txt} 28{com}.     estadd loc thisstat9 = "`r(bstar)'": col`colnum'
{txt} 29{com}.     estadd loc thisstat10 = "`r(sestar)'": col`colnum'
{txt} 30{com}.                 
.         sigstar voice_feedback_intrinsic , prec(3)
{txt} 31{com}.     estadd loc thisstat12 = "`r(bstar)'": col`colnum'
{txt} 32{com}.     estadd loc thisstat13 = "`r(sestar)'": col`colnum'
{txt} 33{com}. 
.                 
.                  
.         qui sum `choice' if control==1
{txt} 34{com}.         estadd loc thisstat15 = string(`r(mean)', "%9.2f"): col`colnum'
{txt} 35{com}.         
.         qui sum `choice' 
{txt} 36{com}.     estadd loc thisstat16 = string(`r(N)', "%9.0f"): col`colnum'
{txt} 37{com}.         
.                 
.         estadd loc thisstat17 = "X" : col`colnum'
{txt} 38{com}.         
.         
.     loc ++colnum
{txt} 39{com}. 
. 
.         {c )-}

{txt}Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(4, 1002)        =  {res}     3.49
                                                {txt}Prob > F          = {res}    0.0078
                                                {txt}R-squared         = {res}    0.0102
                                                {txt}Root MSE          =    {res} .14252

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                  any_doors{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2} .0367877{col 41}{space 2} .0150667{col 52}{space 1}    2.44{col 61}{space 3}0.015{col 69}{space 4} .0072218{col 82}{space 3} .0663535
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2} .0150872{col 41}{space 2} .0107872{col 52}{space 1}    1.40{col 61}{space 3}0.162{col 69}{space 4}-.0060809{col 82}{space 3} .0362553
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} .0327292{col 41}{space 2}  .014661{col 52}{space 1}    2.23{col 61}{space 3}0.026{col 69}{space 4} .0039595{col 82}{space 3} .0614989
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} .0217063{col 41}{space 2} .0125826{col 52}{space 1}    1.73{col 61}{space 3}0.085{col 69}{space 4} -.002985{col 82}{space 3} .0463976
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .0029851{col 41}{space 2}  .002988{col 52}{space 1}    1.00{col 61}{space 3}0.318{col 69}{space 4}-.0028785{col 82}{space 3} .0088486
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0367877{col 26}{space 2} .0150667{col 37}{space 1}    2.44{col 46}{space 3}0.015{col 54}{space 4} .0072218{col 67}{space 3} .0663535
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0217063{col 26}{space 2} .0125826{col 37}{space 1}    1.73{col 46}{space 3}0.085{col 54}{space 4} -.002985{col 67}{space 3} .0463976
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0150872{col 26}{space 2} .0107872{col 37}{space 1}    1.40{col 46}{space 3}0.162{col 54}{space 4}-.0060809{col 67}{space 3} .0362553
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0327292{col 26}{space 2}  .014661{col 37}{space 1}    2.23{col 46}{space 3}0.026{col 54}{space 4} .0039595{col 67}{space 3} .0614989
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(20, 986)        =  {res}     1.08
                                                {txt}Prob > F          = {res}    0.3625
                                                {txt}R-squared         = {res}    0.0518
                                                {txt}Root MSE          =    {res} .14062

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                  any_doors{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2} .0385121{col 41}{space 2} .0144866{col 52}{space 1}    2.66{col 61}{space 3}0.008{col 69}{space 4} .0100839{col 82}{space 3} .0669402
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2} .0140801{col 41}{space 2} .0106534{col 52}{space 1}    1.32{col 61}{space 3}0.187{col 69}{space 4}-.0068258{col 82}{space 3}  .034986
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} .0281059{col 41}{space 2} .0140728{col 52}{space 1}    2.00{col 61}{space 3}0.046{col 69}{space 4} .0004899{col 82}{space 3} .0557218
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} .0208111{col 41}{space 2} .0126949{col 52}{space 1}    1.64{col 61}{space 3}0.101{col 69}{space 4}-.0041011{col 82}{space 3} .0457232
{txt}{space 14}z_voice_prior {c |}{col 29}{res}{space 2} .0068368{col 41}{space 2} .0046743{col 52}{space 1}    1.46{col 61}{space 3}0.144{col 69}{space 4}-.0023359{col 82}{space 3} .0160095
{txt}{space 21}female {c |}{col 29}{res}{space 2} .0313331{col 41}{space 2} .0145606{col 52}{space 1}    2.15{col 61}{space 3}0.032{col 69}{space 4} .0027598{col 82}{space 3} .0599064
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.0013416{col 41}{space 2} .0004005{col 52}{space 1}   -3.35{col 61}{space 3}0.001{col 69}{space 4}-.0021275{col 82}{space 3}-.0005557
{txt}{space 15}member_years {c |}{col 29}{res}{space 2} .0001264{col 41}{space 2} .0003034{col 52}{space 1}    0.42{col 61}{space 3}0.677{col 69}{space 4} -.000469{col 82}{space 3} .0007218
{txt}{space 15}member_years {c |}{col 29}{res}{space 2}        0{col 41}{txt}  (omitted)
{space 6}d_experience_campaign {c |}{col 29}{res}{space 2} .0069745{col 41}{space 2} .0131597{col 52}{space 1}    0.53{col 61}{space 3}0.596{col 69}{space 4}-.0188498{col 82}{space 3} .0327987
{txt}{space 16}z_votes_own {c |}{col 29}{res}{space 2}-.0034175{col 41}{space 2} .0031142{col 52}{space 1}   -1.10{col 61}{space 3}0.273{col 69}{space 4}-.0095286{col 82}{space 3} .0026936
{txt}{space 12}z_votes_other_1 {c |}{col 29}{res}{space 2} .0019332{col 41}{space 2} .0042299{col 52}{space 1}    0.46{col 61}{space 3}0.648{col 69}{space 4}-.0063674{col 82}{space 3} .0102338
{txt}{space 12}z_votes_other_2 {c |}{col 29}{res}{space 2}-.0030855{col 41}{space 2}  .004539{col 52}{space 1}   -0.68{col 61}{space 3}0.497{col 69}{space 4}-.0119927{col 82}{space 3} .0058217
{txt}{space 13}pre_doortodoor {c |}{col 29}{res}{space 2} .0094584{col 41}{space 2} .0128037{col 52}{space 1}    0.74{col 61}{space 3}0.460{col 69}{space 4}-.0156672{col 82}{space 3}  .034584
{txt}{space 8}pre_days_doortodoor {c |}{col 29}{res}{space 2}-.0001809{col 41}{space 2} .0001163{col 52}{space 1}   -1.56{col 61}{space 3}0.120{col 69}{space 4}-.0004092{col 82}{space 3} .0000474
{txt}{space 16}pre_posters {c |}{col 29}{res}{space 2}-.0066778{col 41}{space 2}  .014304{col 52}{space 1}   -0.47{col 61}{space 3}0.641{col 69}{space 4}-.0347476{col 82}{space 3}  .021392
{txt}{space 18}pre_booth {c |}{col 29}{res}{space 2} .0226287{col 41}{space 2} .0094325{col 52}{space 1}    2.40{col 61}{space 3}0.017{col 69}{space 4} .0041186{col 82}{space 3} .0411388
{txt}{space 17}pre_online {c |}{col 29}{res}{space 2}-.0074214{col 41}{space 2} .0116291{col 52}{space 1}   -0.64{col 61}{space 3}0.524{col 69}{space 4} -.030242{col 82}{space 3} .0153992
{txt}{space 19}pre_call {c |}{col 29}{res}{space 2} .0085547{col 41}{space 2} .0136866{col 52}{space 1}    0.63{col 61}{space 3}0.532{col 69}{space 4}-.0183035{col 82}{space 3}  .035413
{txt}{space 16}pre_friends {c |}{col 29}{res}{space 2} .0039424{col 41}{space 2} .0148464{col 52}{space 1}    0.27{col 61}{space 3}0.791{col 69}{space 4}-.0251918{col 82}{space 3} .0330767
{txt}{space 17}pre_others {c |}{col 29}{res}{space 2}-.0228835{col 41}{space 2} .0068536{col 52}{space 1}   -3.34{col 61}{space 3}0.001{col 69}{space 4}-.0363328{col 82}{space 3}-.0094342
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .0412581{col 41}{space 2} .0176978{col 52}{space 1}    2.33{col 61}{space 3}0.020{col 69}{space 4} .0065285{col 82}{space 3} .0759877
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0385121{col 26}{space 2} .0144866{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4} .0100839{col 67}{space 3} .0669402
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0208111{col 26}{space 2} .0126949{col 37}{space 1}    1.64{col 46}{space 3}0.101{col 54}{space 4}-.0041011{col 67}{space 3} .0457232
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0140801{col 26}{space 2} .0106534{col 37}{space 1}    1.32{col 46}{space 3}0.187{col 54}{space 4}-.0068258{col 67}{space 3}  .034986
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0281059{col 26}{space 2} .0140728{col 37}{space 1}    2.00{col 46}{space 3}0.046{col 54}{space 4} .0004899{col 67}{space 3} .0557218
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(4, 1002)        =  {res}     3.17
                                                {txt}Prob > F          = {res}    0.0133
                                                {txt}R-squared         = {res}    0.0077
                                                {txt}Root MSE          =    {res} 7.4689

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                 doors_wins{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2} 1.410159{col 41}{space 2} .6941569{col 52}{space 1}    2.03{col 61}{space 3}0.042{col 69}{space 4} .0479915{col 82}{space 3} 2.772327
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2} .7659234{col 41}{space 2} .5647938{col 52}{space 1}    1.36{col 61}{space 3}0.175{col 69}{space 4}-.3423908{col 82}{space 3} 1.874238
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} 1.529478{col 41}{space 2} .7747764{col 52}{space 1}    1.97{col 61}{space 3}0.049{col 69}{space 4} .0091073{col 82}{space 3} 3.049848
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} 1.441515{col 41}{space 2} .7691097{col 52}{space 1}    1.87{col 61}{space 3}0.061{col 69}{space 4}-.0677358{col 82}{space 3} 2.950765
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .0955224{col 41}{space 2} .0956174{col 52}{space 1}    1.00{col 61}{space 3}0.318{col 69}{space 4}-.0921109{col 82}{space 3} .2831557
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  doors_wins{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.410159{col 26}{space 2} .6941569{col 37}{space 1}    2.03{col 46}{space 3}0.042{col 54}{space 4} .0479915{col 67}{space 3} 2.772327
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  doors_wins{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.441515{col 26}{space 2} .7691097{col 37}{space 1}    1.87{col 46}{space 3}0.061{col 54}{space 4}-.0677358{col 67}{space 3} 2.950765
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  doors_wins{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .7659234{col 26}{space 2} .5647938{col 37}{space 1}    1.36{col 46}{space 3}0.175{col 54}{space 4}-.3423908{col 67}{space 3} 1.874238
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  doors_wins{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.529478{col 26}{space 2} .7747764{col 37}{space 1}    1.97{col 46}{space 3}0.049{col 54}{space 4} .0091073{col 67}{space 3} 3.049848
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(20, 986)        =  {res}     0.86
                                                {txt}Prob > F          = {res}    0.6459
                                                {txt}R-squared         = {res}    0.0445
                                                {txt}Root MSE          =    {res} 7.3882

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                 doors_wins{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2} 1.447431{col 41}{space 2} .6832988{col 52}{space 1}    2.12{col 61}{space 3}0.034{col 69}{space 4} .1065434{col 82}{space 3} 2.788318
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2} .6546231{col 41}{space 2} .5660149{col 52}{space 1}    1.16{col 61}{space 3}0.248{col 69}{space 4}-.4561091{col 82}{space 3} 1.765355
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} 1.289664{col 41}{space 2} .7170798{col 52}{space 1}    1.80{col 61}{space 3}0.072{col 69}{space 4}-.1175141{col 82}{space 3} 2.696842
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} 1.412838{col 41}{space 2} .7700434{col 52}{space 1}    1.83{col 61}{space 3}0.067{col 69}{space 4}-.0982744{col 82}{space 3}  2.92395
{txt}{space 14}z_voice_prior {c |}{col 29}{res}{space 2} .3152266{col 41}{space 2}  .231705{col 52}{space 1}    1.36{col 61}{space 3}0.174{col 69}{space 4}-.1394649{col 82}{space 3} .7699182
{txt}{space 21}female {c |}{col 29}{res}{space 2} 1.725578{col 41}{space 2} .8157799{col 52}{space 1}    2.12{col 61}{space 3}0.035{col 69}{space 4} .1247139{col 82}{space 3} 3.326443
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.0584155{col 41}{space 2} .0213918{col 52}{space 1}   -2.73{col 61}{space 3}0.006{col 69}{space 4}-.1003941{col 82}{space 3}-.0164369
{txt}{space 15}member_years {c |}{col 29}{res}{space 2} .0029042{col 41}{space 2} .0161864{col 52}{space 1}    0.18{col 61}{space 3}0.858{col 69}{space 4}-.0288596{col 82}{space 3} .0346681
{txt}{space 15}member_years {c |}{col 29}{res}{space 2}        0{col 41}{txt}  (omitted)
{space 6}d_experience_campaign {c |}{col 29}{res}{space 2}  .147313{col 41}{space 2} .6242923{col 52}{space 1}    0.24{col 61}{space 3}0.814{col 69}{space 4}-1.077781{col 82}{space 3} 1.372407
{txt}{space 16}z_votes_own {c |}{col 29}{res}{space 2}-.2340089{col 41}{space 2} .1645098{col 52}{space 1}   -1.42{col 61}{space 3}0.155{col 69}{space 4}-.5568385{col 82}{space 3} .0888208
{txt}{space 12}z_votes_other_1 {c |}{col 29}{res}{space 2}-.0238175{col 41}{space 2} .2384761{col 52}{space 1}   -0.10{col 61}{space 3}0.920{col 69}{space 4}-.4917965{col 82}{space 3} .4441614
{txt}{space 12}z_votes_other_2 {c |}{col 29}{res}{space 2}-.1225833{col 41}{space 2} .2600283{col 52}{space 1}   -0.47{col 61}{space 3}0.637{col 69}{space 4}-.6328557{col 82}{space 3} .3876892
{txt}{space 13}pre_doortodoor {c |}{col 29}{res}{space 2} .4987123{col 41}{space 2} .5954343{col 52}{space 1}    0.84{col 61}{space 3}0.402{col 69}{space 4}-.6697519{col 82}{space 3} 1.667176
{txt}{space 8}pre_days_doortodoor {c |}{col 29}{res}{space 2}-.0086196{col 41}{space 2} .0071052{col 52}{space 1}   -1.21{col 61}{space 3}0.225{col 69}{space 4}-.0225627{col 82}{space 3} .0053235
{txt}{space 16}pre_posters {c |}{col 29}{res}{space 2}-.4409896{col 41}{space 2} .7141295{col 52}{space 1}   -0.62{col 61}{space 3}0.537{col 69}{space 4}-1.842378{col 82}{space 3} .9603988
{txt}{space 18}pre_booth {c |}{col 29}{res}{space 2} .7620926{col 41}{space 2} .4402787{col 52}{space 1}    1.73{col 61}{space 3}0.084{col 69}{space 4}-.1018983{col 82}{space 3} 1.626084
{txt}{space 17}pre_online {c |}{col 29}{res}{space 2} .1339531{col 41}{space 2} .4862549{col 52}{space 1}    0.28{col 61}{space 3}0.783{col 69}{space 4}-.8202602{col 82}{space 3} 1.088166
{txt}{space 19}pre_call {c |}{col 29}{res}{space 2} 1.095653{col 41}{space 2}  .840739{col 52}{space 1}    1.30{col 61}{space 3}0.193{col 69}{space 4}-.5541902{col 82}{space 3} 2.745497
{txt}{space 16}pre_friends {c |}{col 29}{res}{space 2}-.0404521{col 41}{space 2}  .735931{col 52}{space 1}   -0.05{col 61}{space 3}0.956{col 69}{space 4}-1.484623{col 82}{space 3} 1.403719
{txt}{space 17}pre_others {c |}{col 29}{res}{space 2}-1.131599{col 41}{space 2} .3867855{col 52}{space 1}   -2.93{col 61}{space 3}0.004{col 69}{space 4}-1.890617{col 82}{space 3}-.3725821
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}  1.89457{col 41}{space 2} 1.013992{col 52}{space 1}    1.87{col 61}{space 3}0.062{col 69}{space 4}-.0952604{col 82}{space 3}   3.8844
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  doors_wins{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.447431{col 26}{space 2} .6832988{col 37}{space 1}    2.12{col 46}{space 3}0.034{col 54}{space 4} .1065434{col 67}{space 3} 2.788318
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  doors_wins{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.412838{col 26}{space 2} .7700434{col 37}{space 1}    1.83{col 46}{space 3}0.067{col 54}{space 4}-.0982744{col 67}{space 3}  2.92395
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  doors_wins{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .6546231{col 26}{space 2} .5660149{col 37}{space 1}    1.16{col 46}{space 3}0.248{col 54}{space 4}-.4561091{col 67}{space 3} 1.765355
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  doors_wins{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.289664{col 26}{space 2} .7170798{col 37}{space 1}    1.80{col 46}{space 3}0.072{col 54}{space 4}-.1175141{col 67}{space 3} 2.696842
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(4, 950)         =  {res}     1.62
                                                {txt}Prob > F          = {res}    0.1675
                                                {txt}R-squared         = {res}    0.0067
                                                {txt}Root MSE          =    {res} .99382

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                 z_score_fs{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2}  .187039{col 41}{space 2} .0923743{col 52}{space 1}    2.02{col 61}{space 3}0.043{col 69}{space 4} .0057578{col 82}{space 3} .3683203
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2}  .002669{col 41}{space 2} .0985032{col 52}{space 1}    0.03{col 61}{space 3}0.978{col 69}{space 4}  -.19064{col 82}{space 3}  .195978
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} .1247823{col 41}{space 2} .0954396{col 52}{space 1}    1.31{col 61}{space 3}0.191{col 69}{space 4}-.0625145{col 82}{space 3} .3120792
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} .1654175{col 41}{space 2} .0997808{col 52}{space 1}    1.66{col 61}{space 3}0.098{col 69}{space 4}-.0303987{col 82}{space 3} .3612337
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-1.71e-10{col 41}{space 2} .0554452{col 52}{space 1}   -0.00{col 61}{space 3}1.000{col 69}{space 4}-.1088092{col 82}{space 3} .1088092
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .187039{col 26}{space 2} .0923743{col 37}{space 1}    2.02{col 46}{space 3}0.043{col 54}{space 4} .0057578{col 67}{space 3} .3683203
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1654175{col 26}{space 2} .0997808{col 37}{space 1}    1.66{col 46}{space 3}0.098{col 54}{space 4}-.0303987{col 67}{space 3} .3612337
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .002669{col 26}{space 2} .0985032{col 37}{space 1}    0.03{col 46}{space 3}0.978{col 54}{space 4}  -.19064{col 67}{space 3}  .195978
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1247823{col 26}{space 2} .0954396{col 37}{space 1}    1.31{col 46}{space 3}0.191{col 54}{space 4}-.0625145{col 67}{space 3} .3120792
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(20, 934)        =  {res}    54.24
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.5501
                                                {txt}Root MSE          =    {res} .67458

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                 z_score_fs{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2}  .087961{col 41}{space 2} .0644398{col 52}{space 1}    1.37{col 61}{space 3}0.173{col 69}{space 4}-.0385026{col 82}{space 3} .2144246
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2}-.0189756{col 41}{space 2}  .066444{col 52}{space 1}   -0.29{col 61}{space 3}0.775{col 69}{space 4}-.1493723{col 82}{space 3} .1114212
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} .0421558{col 41}{space 2} .0675813{col 52}{space 1}    0.62{col 61}{space 3}0.533{col 69}{space 4} -.090473{col 82}{space 3} .1747846
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} .1374595{col 41}{space 2} .0679676{col 52}{space 1}    2.02{col 61}{space 3}0.043{col 69}{space 4} .0040726{col 82}{space 3} .2708465
{txt}{space 14}z_voice_prior {c |}{col 29}{res}{space 2} .6581403{col 41}{space 2} .0258875{col 52}{space 1}   25.42{col 61}{space 3}0.000{col 69}{space 4} .6073359{col 82}{space 3} .7089447
{txt}{space 21}female {c |}{col 29}{res}{space 2}-.0602508{col 41}{space 2} .0560422{col 52}{space 1}   -1.08{col 61}{space 3}0.283{col 69}{space 4}-.1702341{col 82}{space 3} .0497324
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.0021514{col 41}{space 2}  .001795{col 52}{space 1}   -1.20{col 61}{space 3}0.231{col 69}{space 4}-.0056741{col 82}{space 3} .0013714
{txt}{space 15}member_years {c |}{col 29}{res}{space 2} .0004355{col 41}{space 2} .0020412{col 52}{space 1}    0.21{col 61}{space 3}0.831{col 69}{space 4}-.0035705{col 82}{space 3} .0044414
{txt}{space 15}member_years {c |}{col 29}{res}{space 2}        0{col 41}{txt}  (omitted)
{space 6}d_experience_campaign {c |}{col 29}{res}{space 2}-.2215981{col 41}{space 2} .1257188{col 52}{space 1}   -1.76{col 61}{space 3}0.078{col 69}{space 4}-.4683221{col 82}{space 3}  .025126
{txt}{space 16}z_votes_own {c |}{col 29}{res}{space 2} .1111615{col 41}{space 2} .0459255{col 52}{space 1}    2.42{col 61}{space 3}0.016{col 69}{space 4} .0210323{col 82}{space 3} .2012906
{txt}{space 12}z_votes_other_1 {c |}{col 29}{res}{space 2} .0353334{col 41}{space 2} .0281279{col 52}{space 1}    1.26{col 61}{space 3}0.209{col 69}{space 4}-.0198677{col 82}{space 3} .0905346
{txt}{space 12}z_votes_other_2 {c |}{col 29}{res}{space 2}-.0782344{col 41}{space 2} .0275845{col 52}{space 1}   -2.84{col 61}{space 3}0.005{col 69}{space 4}-.1323692{col 82}{space 3}-.0240995
{txt}{space 13}pre_doortodoor {c |}{col 29}{res}{space 2}-.0196242{col 41}{space 2}  .061726{col 52}{space 1}   -0.32{col 61}{space 3}0.751{col 69}{space 4}-.1407619{col 82}{space 3} .1015134
{txt}{space 8}pre_days_doortodoor {c |}{col 29}{res}{space 2}-.0015486{col 41}{space 2}   .00069{col 52}{space 1}   -2.24{col 61}{space 3}0.025{col 69}{space 4}-.0029026{col 82}{space 3}-.0001945
{txt}{space 16}pre_posters {c |}{col 29}{res}{space 2} .0243906{col 41}{space 2} .0663799{col 52}{space 1}    0.37{col 61}{space 3}0.713{col 69}{space 4}-.1058804{col 82}{space 3} .1546615
{txt}{space 18}pre_booth {c |}{col 29}{res}{space 2}  .004486{col 41}{space 2} .1016036{col 52}{space 1}    0.04{col 61}{space 3}0.965{col 69}{space 4}-.1949119{col 82}{space 3} .2038839
{txt}{space 17}pre_online {c |}{col 29}{res}{space 2} .0367417{col 41}{space 2} .0560861{col 52}{space 1}    0.66{col 61}{space 3}0.513{col 69}{space 4}-.0733278{col 82}{space 3} .1468112
{txt}{space 19}pre_call {c |}{col 29}{res}{space 2} .0713718{col 41}{space 2} .0599503{col 52}{space 1}    1.19{col 61}{space 3}0.234{col 69}{space 4}-.0462811{col 82}{space 3} .1890248
{txt}{space 16}pre_friends {c |}{col 29}{res}{space 2} .0716745{col 41}{space 2} .0780719{col 52}{space 1}    0.92{col 61}{space 3}0.359{col 69}{space 4}-.0815422{col 82}{space 3} .2248912
{txt}{space 17}pre_others {c |}{col 29}{res}{space 2} .0219072{col 41}{space 2} .0626509{col 52}{space 1}    0.35{col 61}{space 3}0.727{col 69}{space 4}-.1010456{col 82}{space 3}   .14486
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .2114295{col 41}{space 2}  .091472{col 52}{space 1}    2.31{col 61}{space 3}0.021{col 69}{space 4}  .031915{col 82}{space 3}  .390944
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .087961{col 26}{space 2} .0644398{col 37}{space 1}    1.37{col 46}{space 3}0.173{col 54}{space 4}-.0385026{col 67}{space 3} .2144246
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1374595{col 26}{space 2} .0679676{col 37}{space 1}    2.02{col 46}{space 3}0.043{col 54}{space 4} .0040726{col 67}{space 3} .2708465
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0189756{col 26}{space 2}  .066444{col 37}{space 1}   -0.29{col 46}{space 3}0.775{col 54}{space 4}-.1493723{col 67}{space 3} .1114212
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0421558{col 26}{space 2} .0675813{col 37}{space 1}    0.62{col 46}{space 3}0.533{col 54}{space 4} -.090473{col 67}{space 3} .1747846
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
. 
.          
. 
. loc rowlabels " " " "  " "Treatment: instrumental" " " " "  "Treatment: instrumental + feedback" " " " " "Treatment: intrinsic" " " " "  "Treatment: intrinsic + feedback" " " " "  "Control mean" "Number of Observations" "Controls" "
{txt}
{com}. 
. loc rowstats ""
{txt}
{com}. 
. forval i = 1/17 {c -(}
{txt}  2{com}.     loc rowstats "`rowstats' thisstat`i'"
{txt}  3{com}. {c )-}
{txt}
{com}. 
. 
. 
. esttab col* using "$output/treat_doors_fs_detailed.tex", replace cells(none) booktabs nonotes  compress alignment(c) nogap noobs nobaselevels label stats(`rowstats', labels(`rowlabels')) ///
>  mtitle("Any" "Any" "Doors (wins)" "Doors (wins)"  "Voice index (z)" "Voice index (z)") mgroups("App data" "Survey data",  pattern(1 0 0 0 1 0) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}))
{res}{txt}(output written to {browse  `"/Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/output/treat_doors_fs_detailed.tex"'})

{com}. 
. 
. 
{txt}end of do-file

{com}. do "$scripts/tables/Table_A15_treat_intentions_detailed.do"
{txt}
{com}. 
. 
. use "$data/clean/clean_main_complete.dta" , replace
{txt}
{com}. 
. 
.                    
. loc experiments  "n_intendedact  int_booth int_call int_posters  int_friends int_online int_doortodoor int_days_doortodoor"
{txt}
{com}. 
.                    
. preserve
{txt}
{com}. 
. clear all
{res}{txt}
{com}. eststo clear
{txt}
{com}. estimates drop _all
{txt}
{com}. 
. set obs 10
{txt}{p}
number of observations (_N)  was 0,
now 10
{p_end}

{com}. qui gen x = 1
{txt}
{com}. qui gen y = 1
{txt}
{com}. 
. loc columns = 0
{txt}
{com}. 
. foreach choice in `experiments' {c -(}
{txt}  2{com}. 
.     loc ++columns
{txt}  3{com}.     qui eststo col`columns': reg x y
{txt}  4{com}. 
. {c )-}
{txt}
{com}. 
. restore
{txt}
{com}. 
. 
. /* Statistics */
. 
. loc colnum = 1
{txt}
{com}. loc colnames ""
{txt}
{com}. 
. 
. foreach choice in `experiments' {c -(}
{txt}  2{com}. 
. /* Statistics */
. 
. 
. 
.  
.  
. ********************************Panel A*****************************************
.         
.  xi: reg `choice'  voice_instrumental voice_intrinsic voice_feedback_intrinsic voice_feedback_instrumental $control , vce(r) // 
{txt}  3{com}.    
.    
.     sigstar voice_instrumental   , prec(3)
{txt}  4{com}.     estadd loc thisstat3 = "`r(bstar)'": col`colnum'
{txt}  5{com}.     estadd loc thisstat4 = "`r(sestar)'": col`colnum'
{txt}  6{com}.    
.     sigstar voice_feedback_instrumental , prec(3)
{txt}  7{com}.     estadd loc thisstat6 = "`r(bstar)'": col`colnum'
{txt}  8{com}.     estadd loc thisstat7 = "`r(sestar)'": col`colnum'
{txt}  9{com}.         
.         sigstar  voice_intrinsic , prec(3)
{txt} 10{com}.     estadd loc thisstat9 = "`r(bstar)'": col`colnum'
{txt} 11{com}.     estadd loc thisstat10 = "`r(sestar)'": col`colnum'
{txt} 12{com}.                 
.         sigstar voice_feedback_intrinsic , prec(3)
{txt} 13{com}.     estadd loc thisstat12 = "`r(bstar)'": col`colnum'
{txt} 14{com}.     estadd loc thisstat13 = "`r(sestar)'": col`colnum'
{txt} 15{com}. 
.                 
.                  
.         qui sum `choice' if control==1
{txt} 16{com}.         estadd loc thisstat15 = string(`r(mean)', "%9.2f"): col`colnum'
{txt} 17{com}.         
.         qui sum `choice' 
{txt} 18{com}.     estadd loc thisstat16 = string(`r(N)', "%9.0f"): col`colnum'
{txt} 19{com}.         
.         
.     loc ++colnum
{txt} 20{com}.     loc colnames "`colnames' `"`: var la `choice''"'"
{txt} 21{com}. 
.         {c )-}
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(20, 943)        =  {res}    32.03
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3313
                                                {txt}Root MSE          =    {res} 1.4479

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}              n_intendedact{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2} .2176019{col 41}{space 2}  .138339{col 52}{space 1}    1.57{col 61}{space 3}0.116{col 69}{space 4} -.053886{col 82}{space 3} .4890897
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2} .0663296{col 41}{space 2} .1457794{col 52}{space 1}    0.45{col 61}{space 3}0.649{col 69}{space 4}  -.21976{col 82}{space 3} .3524192
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2}  .259568{col 41}{space 2}  .139448{col 52}{space 1}    1.86{col 61}{space 3}0.063{col 69}{space 4}-.0140964{col 82}{space 3} .5332324
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} .2684299{col 41}{space 2}  .141321{col 52}{space 1}    1.90{col 61}{space 3}0.058{col 69}{space 4}-.0089102{col 82}{space 3}   .54577
{txt}{space 14}z_voice_prior {c |}{col 29}{res}{space 2} .3744796{col 41}{space 2} .0484118{col 52}{space 1}    7.74{col 61}{space 3}0.000{col 69}{space 4} .2794724{col 82}{space 3} .4694869
{txt}{space 21}female {c |}{col 29}{res}{space 2}-.0485984{col 41}{space 2} .1164443{col 52}{space 1}   -0.42{col 61}{space 3}0.677{col 69}{space 4}-.2771184{col 82}{space 3} .1799216
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.0171722{col 41}{space 2}  .003462{col 52}{space 1}   -4.96{col 61}{space 3}0.000{col 69}{space 4}-.0239663{col 82}{space 3} -.010378
{txt}{space 15}member_years {c |}{col 29}{res}{space 2}-.0082454{col 41}{space 2} .0040742{col 52}{space 1}   -2.02{col 61}{space 3}0.043{col 69}{space 4}-.0162409{col 82}{space 3}-.0002499
{txt}{space 15}member_years {c |}{col 29}{res}{space 2}        0{col 41}{txt}  (omitted)
{space 6}d_experience_campaign {c |}{col 29}{res}{space 2}-1.443166{col 41}{space 2} .1913128{col 52}{space 1}   -7.54{col 61}{space 3}0.000{col 69}{space 4}-1.818614{col 82}{space 3}-1.067718
{txt}{space 16}z_votes_own {c |}{col 29}{res}{space 2} .1235539{col 41}{space 2}   .05981{col 52}{space 1}    2.07{col 61}{space 3}0.039{col 69}{space 4} .0061778{col 82}{space 3}   .24093
{txt}{space 12}z_votes_other_1 {c |}{col 29}{res}{space 2}-.0181309{col 41}{space 2} .0499067{col 52}{space 1}   -0.36{col 61}{space 3}0.716{col 69}{space 4}-.1160719{col 82}{space 3} .0798101
{txt}{space 12}z_votes_other_2 {c |}{col 29}{res}{space 2}-.0821952{col 41}{space 2} .0491319{col 52}{space 1}   -1.67{col 61}{space 3}0.095{col 69}{space 4}-.1786158{col 82}{space 3} .0142254
{txt}{space 13}pre_doortodoor {c |}{col 29}{res}{space 2} .2815069{col 41}{space 2} .1208081{col 52}{space 1}    2.33{col 61}{space 3}0.020{col 69}{space 4} .0444231{col 82}{space 3} .5185907
{txt}{space 8}pre_days_doortodoor {c |}{col 29}{res}{space 2}-.0015758{col 41}{space 2} .0020532{col 52}{space 1}   -0.77{col 61}{space 3}0.443{col 69}{space 4}-.0056052{col 82}{space 3} .0024536
{txt}{space 16}pre_posters {c |}{col 29}{res}{space 2} .5071371{col 41}{space 2} .1280533{col 52}{space 1}    3.96{col 61}{space 3}0.000{col 69}{space 4} .2558347{col 82}{space 3} .7584396
{txt}{space 18}pre_booth {c |}{col 29}{res}{space 2}  .358181{col 41}{space 2}  .147304{col 52}{space 1}    2.43{col 61}{space 3}0.015{col 69}{space 4} .0690996{col 82}{space 3} .6472625
{txt}{space 17}pre_online {c |}{col 29}{res}{space 2}  .847744{col 41}{space 2}  .113753{col 52}{space 1}    7.45{col 61}{space 3}0.000{col 69}{space 4} .6245056{col 82}{space 3} 1.070982
{txt}{space 19}pre_call {c |}{col 29}{res}{space 2} .3771482{col 41}{space 2} .1539858{col 52}{space 1}    2.45{col 61}{space 3}0.014{col 69}{space 4} .0749536{col 82}{space 3} .6793428
{txt}{space 16}pre_friends {c |}{col 29}{res}{space 2} .8562368{col 41}{space 2} .1258716{col 52}{space 1}    6.80{col 61}{space 3}0.000{col 69}{space 4} .6092159{col 82}{space 3} 1.103258
{txt}{space 17}pre_others {c |}{col 29}{res}{space 2}-.1043374{col 41}{space 2} .1621762{col 52}{space 1}   -0.64{col 61}{space 3}0.520{col 69}{space 4}-.4226054{col 82}{space 3} .2139307
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 2.856276{col 41}{space 2} .1857745{col 52}{space 1}   15.37{col 61}{space 3}0.000{col 69}{space 4} 2.491697{col 82}{space 3} 3.220855
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}n_intended~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .2176019{col 26}{space 2}  .138339{col 37}{space 1}    1.57{col 46}{space 3}0.116{col 54}{space 4} -.053886{col 67}{space 3} .4890897
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}n_intended~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .2684299{col 26}{space 2}  .141321{col 37}{space 1}    1.90{col 46}{space 3}0.058{col 54}{space 4}-.0089102{col 67}{space 3}   .54577
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}n_intended~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0663296{col 26}{space 2} .1457794{col 37}{space 1}    0.45{col 46}{space 3}0.649{col 54}{space 4}  -.21976{col 67}{space 3} .3524192
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}n_intended~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .259568{col 26}{space 2}  .139448{col 37}{space 1}    1.86{col 46}{space 3}0.063{col 54}{space 4}-.0140964{col 67}{space 3} .5332324
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(20, 943)        =  {res}    21.29
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2309
                                                {txt}Root MSE          =    {res}  .4335

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                  int_booth{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2} .0452869{col 41}{space 2} .0430036{col 52}{space 1}    1.05{col 61}{space 3}0.293{col 69}{space 4}-.0391069{col 82}{space 3} .1296807
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2} .0701703{col 41}{space 2} .0413927{col 52}{space 1}    1.70{col 61}{space 3}0.090{col 69}{space 4}-.0110621{col 82}{space 3} .1514028
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} .0365789{col 41}{space 2} .0436652{col 52}{space 1}    0.84{col 61}{space 3}0.402{col 69}{space 4}-.0491132{col 82}{space 3} .1222711
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} .0735275{col 41}{space 2} .0414132{col 52}{space 1}    1.78{col 61}{space 3}0.076{col 69}{space 4}-.0077453{col 82}{space 3} .1548002
{txt}{space 14}z_voice_prior {c |}{col 29}{res}{space 2} .0938929{col 41}{space 2} .0137988{col 52}{space 1}    6.80{col 61}{space 3}0.000{col 69}{space 4}  .066813{col 82}{space 3} .1209728
{txt}{space 21}female {c |}{col 29}{res}{space 2}-.0014874{col 41}{space 2} .0359455{col 52}{space 1}   -0.04{col 61}{space 3}0.967{col 69}{space 4}-.0720298{col 82}{space 3}  .069055
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.0030089{col 41}{space 2} .0010696{col 52}{space 1}   -2.81{col 61}{space 3}0.005{col 69}{space 4} -.005108{col 82}{space 3}-.0009099
{txt}{space 15}member_years {c |}{col 29}{res}{space 2}-.0022266{col 41}{space 2} .0012672{col 52}{space 1}   -1.76{col 61}{space 3}0.079{col 69}{space 4}-.0047134{col 82}{space 3} .0002603
{txt}{space 15}member_years {c |}{col 29}{res}{space 2}        0{col 41}{txt}  (omitted)
{space 6}d_experience_campaign {c |}{col 29}{res}{space 2}-.3168047{col 41}{space 2} .0682299{col 52}{space 1}   -4.64{col 61}{space 3}0.000{col 69}{space 4}-.4507047{col 82}{space 3}-.1829046
{txt}{space 16}z_votes_own {c |}{col 29}{res}{space 2} .0185655{col 41}{space 2} .0156789{col 52}{space 1}    1.18{col 61}{space 3}0.237{col 69}{space 4}-.0122041{col 82}{space 3} .0493351
{txt}{space 12}z_votes_other_1 {c |}{col 29}{res}{space 2}-.0018833{col 41}{space 2} .0153328{col 52}{space 1}   -0.12{col 61}{space 3}0.902{col 69}{space 4}-.0319737{col 82}{space 3} .0282072
{txt}{space 12}z_votes_other_2 {c |}{col 29}{res}{space 2} .0014953{col 41}{space 2} .0143444{col 52}{space 1}    0.10{col 61}{space 3}0.917{col 69}{space 4}-.0266553{col 82}{space 3}  .029646
{txt}{space 13}pre_doortodoor {c |}{col 29}{res}{space 2} .0409727{col 41}{space 2} .0400617{col 52}{space 1}    1.02{col 61}{space 3}0.307{col 69}{space 4}-.0376476{col 82}{space 3} .1195931
{txt}{space 8}pre_days_doortodoor {c |}{col 29}{res}{space 2}-.0006636{col 41}{space 2} .0005189{col 52}{space 1}   -1.28{col 61}{space 3}0.201{col 69}{space 4} -.001682{col 82}{space 3} .0003548
{txt}{space 16}pre_posters {c |}{col 29}{res}{space 2} .1431935{col 41}{space 2} .0458154{col 52}{space 1}    3.13{col 61}{space 3}0.002{col 69}{space 4} .0532815{col 82}{space 3} .2331054
{txt}{space 18}pre_booth {c |}{col 29}{res}{space 2} .3770499{col 41}{space 2} .0550144{col 52}{space 1}    6.85{col 61}{space 3}0.000{col 69}{space 4} .2690852{col 82}{space 3} .4850147
{txt}{space 17}pre_online {c |}{col 29}{res}{space 2} .0277298{col 41}{space 2} .0363845{col 52}{space 1}    0.76{col 61}{space 3}0.446{col 69}{space 4}-.0436741{col 82}{space 3} .0991337
{txt}{space 19}pre_call {c |}{col 29}{res}{space 2}  .048141{col 41}{space 2} .0377379{col 52}{space 1}    1.28{col 61}{space 3}0.202{col 69}{space 4}-.0259189{col 82}{space 3}  .122201
{txt}{space 16}pre_friends {c |}{col 29}{res}{space 2} .1450625{col 41}{space 2}  .047593{col 52}{space 1}    3.05{col 61}{space 3}0.002{col 69}{space 4} .0516621{col 82}{space 3} .2384629
{txt}{space 17}pre_others {c |}{col 29}{res}{space 2} .0499527{col 41}{space 2} .0426768{col 52}{space 1}    1.17{col 61}{space 3}0.242{col 69}{space 4}-.0337997{col 82}{space 3} .1337052
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .4970284{col 41}{space 2} .0566697{col 52}{space 1}    8.77{col 61}{space 3}0.000{col 69}{space 4} .3858151{col 82}{space 3} .6082417
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   int_booth{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0452869{col 26}{space 2} .0430036{col 37}{space 1}    1.05{col 46}{space 3}0.293{col 54}{space 4}-.0391069{col 67}{space 3} .1296807
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   int_booth{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0735275{col 26}{space 2} .0414132{col 37}{space 1}    1.78{col 46}{space 3}0.076{col 54}{space 4}-.0077453{col 67}{space 3} .1548002
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   int_booth{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0701703{col 26}{space 2} .0413927{col 37}{space 1}    1.70{col 46}{space 3}0.090{col 54}{space 4}-.0110621{col 67}{space 3} .1514028
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   int_booth{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0365789{col 26}{space 2} .0436652{col 37}{space 1}    0.84{col 46}{space 3}0.402{col 54}{space 4}-.0491132{col 67}{space 3} .1222711
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(20, 943)        =  {res}     9.26
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2911
                                                {txt}Root MSE          =    {res}   .285

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                   int_call{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2} .0029968{col 41}{space 2} .0268777{col 52}{space 1}    0.11{col 61}{space 3}0.911{col 69}{space 4}-.0497502{col 82}{space 3} .0557437
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2} .0017526{col 41}{space 2} .0290562{col 52}{space 1}    0.06{col 61}{space 3}0.952{col 69}{space 4}-.0552698{col 82}{space 3} .0587749
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2}-.0228855{col 41}{space 2} .0263727{col 52}{space 1}   -0.87{col 61}{space 3}0.386{col 69}{space 4}-.0746414{col 82}{space 3} .0288704
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} .0531446{col 41}{space 2} .0288437{col 52}{space 1}    1.84{col 61}{space 3}0.066{col 69}{space 4}-.0034607{col 82}{space 3} .1097499
{txt}{space 14}z_voice_prior {c |}{col 29}{res}{space 2}  .018203{col 41}{space 2} .0092435{col 52}{space 1}    1.97{col 61}{space 3}0.049{col 69}{space 4} .0000627{col 82}{space 3} .0363432
{txt}{space 21}female {c |}{col 29}{res}{space 2}-.0112068{col 41}{space 2} .0226787{col 52}{space 1}   -0.49{col 61}{space 3}0.621{col 69}{space 4}-.0557133{col 82}{space 3} .0332997
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.0003837{col 41}{space 2} .0006825{col 52}{space 1}   -0.56{col 61}{space 3}0.574{col 69}{space 4}-.0017232{col 82}{space 3} .0009558
{txt}{space 15}member_years {c |}{col 29}{res}{space 2}-.0017313{col 41}{space 2} .0008181{col 52}{space 1}   -2.12{col 61}{space 3}0.035{col 69}{space 4}-.0033367{col 82}{space 3}-.0001258
{txt}{space 15}member_years {c |}{col 29}{res}{space 2}        0{col 41}{txt}  (omitted)
{space 6}d_experience_campaign {c |}{col 29}{res}{space 2}-.0304507{col 41}{space 2} .0345419{col 52}{space 1}   -0.88{col 61}{space 3}0.378{col 69}{space 4}-.0982385{col 82}{space 3} .0373371
{txt}{space 16}z_votes_own {c |}{col 29}{res}{space 2} .0285267{col 41}{space 2} .0139042{col 52}{space 1}    2.05{col 61}{space 3}0.040{col 69}{space 4} .0012399{col 82}{space 3} .0558135
{txt}{space 12}z_votes_other_1 {c |}{col 29}{res}{space 2} .0004215{col 41}{space 2} .0097016{col 52}{space 1}    0.04{col 61}{space 3}0.965{col 69}{space 4}-.0186177{col 82}{space 3} .0194607
{txt}{space 12}z_votes_other_2 {c |}{col 29}{res}{space 2} .0039151{col 41}{space 2} .0114726{col 52}{space 1}    0.34{col 61}{space 3}0.733{col 69}{space 4}-.0185997{col 82}{space 3} .0264299
{txt}{space 13}pre_doortodoor {c |}{col 29}{res}{space 2}-.0411455{col 41}{space 2} .0253388{col 52}{space 1}   -1.62{col 61}{space 3}0.105{col 69}{space 4}-.0908725{col 82}{space 3} .0085814
{txt}{space 8}pre_days_doortodoor {c |}{col 29}{res}{space 2} -.000023{col 41}{space 2} .0004081{col 52}{space 1}   -0.06{col 61}{space 3}0.955{col 69}{space 4}-.0008238{col 82}{space 3} .0007778
{txt}{space 16}pre_posters {c |}{col 29}{res}{space 2}-.0095863{col 41}{space 2} .0262355{col 52}{space 1}   -0.37{col 61}{space 3}0.715{col 69}{space 4}-.0610731{col 82}{space 3} .0419004
{txt}{space 18}pre_booth {c |}{col 29}{res}{space 2} .0218325{col 41}{space 2} .0333663{col 52}{space 1}    0.65{col 61}{space 3}0.513{col 69}{space 4}-.0436484{col 82}{space 3} .0873134
{txt}{space 17}pre_online {c |}{col 29}{res}{space 2}-.0106866{col 41}{space 2} .0239671{col 52}{space 1}   -0.45{col 61}{space 3}0.656{col 69}{space 4}-.0577216{col 82}{space 3} .0363483
{txt}{space 19}pre_call {c |}{col 29}{res}{space 2} .4448744{col 41}{space 2} .0388161{col 52}{space 1}   11.46{col 61}{space 3}0.000{col 69}{space 4} .3686983{col 82}{space 3} .5210504
{txt}{space 16}pre_friends {c |}{col 29}{res}{space 2} .0667496{col 41}{space 2} .0204487{col 52}{space 1}    3.26{col 61}{space 3}0.001{col 69}{space 4} .0266194{col 82}{space 3} .1068798
{txt}{space 17}pre_others {c |}{col 29}{res}{space 2} .0584387{col 41}{space 2} .0342656{col 52}{space 1}    1.71{col 61}{space 3}0.088{col 69}{space 4} -.008807{col 82}{space 3} .1256843
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .0744276{col 41}{space 2} .0360267{col 52}{space 1}    2.07{col 61}{space 3}0.039{col 69}{space 4} .0037259{col 82}{space 3} .1451294
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    int_call{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0029968{col 26}{space 2} .0268777{col 37}{space 1}    0.11{col 46}{space 3}0.911{col 54}{space 4}-.0497502{col 67}{space 3} .0557437
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    int_call{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0531446{col 26}{space 2} .0288437{col 37}{space 1}    1.84{col 46}{space 3}0.066{col 54}{space 4}-.0034607{col 67}{space 3} .1097499
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    int_call{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0017526{col 26}{space 2} .0290562{col 37}{space 1}    0.06{col 46}{space 3}0.952{col 54}{space 4}-.0552698{col 67}{space 3} .0587749
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    int_call{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0228855{col 26}{space 2} .0263727{col 37}{space 1}   -0.87{col 46}{space 3}0.386{col 54}{space 4}-.0746414{col 67}{space 3} .0288704
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(20, 943)        =  {res}    31.22
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2681
                                                {txt}Root MSE          =    {res} .42779

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                int_posters{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2} .0111685{col 41}{space 2} .0405622{col 52}{space 1}    0.28{col 61}{space 3}0.783{col 69}{space 4}-.0684341{col 82}{space 3} .0907711
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2} .0057336{col 41}{space 2}  .042519{col 52}{space 1}    0.13{col 61}{space 3}0.893{col 69}{space 4}-.0777092{col 82}{space 3} .0891763
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} .0256576{col 41}{space 2} .0421841{col 52}{space 1}    0.61{col 61}{space 3}0.543{col 69}{space 4}-.0571281{col 82}{space 3} .1084433
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} .0216311{col 41}{space 2}  .042734{col 52}{space 1}    0.51{col 61}{space 3}0.613{col 69}{space 4}-.0622337{col 82}{space 3} .1054958
{txt}{space 14}z_voice_prior {c |}{col 29}{res}{space 2} .0806846{col 41}{space 2}  .013551{col 52}{space 1}    5.95{col 61}{space 3}0.000{col 69}{space 4}  .054091{col 82}{space 3} .1072781
{txt}{space 21}female {c |}{col 29}{res}{space 2}-.0360445{col 41}{space 2} .0358037{col 52}{space 1}   -1.01{col 61}{space 3}0.314{col 69}{space 4}-.1063086{col 82}{space 3} .0342196
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.0050756{col 41}{space 2} .0010063{col 52}{space 1}   -5.04{col 61}{space 3}0.000{col 69}{space 4}-.0070504{col 82}{space 3}-.0031008
{txt}{space 15}member_years {c |}{col 29}{res}{space 2} -.004327{col 41}{space 2} .0011887{col 52}{space 1}   -3.64{col 61}{space 3}0.000{col 69}{space 4}-.0066598{col 82}{space 3}-.0019941
{txt}{space 15}member_years {c |}{col 29}{res}{space 2}        0{col 41}{txt}  (omitted)
{space 6}d_experience_campaign {c |}{col 29}{res}{space 2}-.2326027{col 41}{space 2} .0617048{col 52}{space 1}   -3.77{col 61}{space 3}0.000{col 69}{space 4}-.3536974{col 82}{space 3}-.1115081
{txt}{space 16}z_votes_own {c |}{col 29}{res}{space 2} .0016186{col 41}{space 2}  .016892{col 52}{space 1}    0.10{col 61}{space 3}0.924{col 69}{space 4}-.0315317{col 82}{space 3} .0347689
{txt}{space 12}z_votes_other_1 {c |}{col 29}{res}{space 2}-.0195747{col 41}{space 2}  .015239{col 52}{space 1}   -1.28{col 61}{space 3}0.199{col 69}{space 4} -.049481{col 82}{space 3} .0103317
{txt}{space 12}z_votes_other_2 {c |}{col 29}{res}{space 2}-.0063062{col 41}{space 2} .0136451{col 52}{space 1}   -0.46{col 61}{space 3}0.644{col 69}{space 4}-.0330844{col 82}{space 3}  .020472
{txt}{space 13}pre_doortodoor {c |}{col 29}{res}{space 2} .0184978{col 41}{space 2} .0380161{col 52}{space 1}    0.49{col 61}{space 3}0.627{col 69}{space 4}-.0561082{col 82}{space 3} .0931038
{txt}{space 8}pre_days_doortodoor {c |}{col 29}{res}{space 2}-.0002723{col 41}{space 2} .0005013{col 52}{space 1}   -0.54{col 61}{space 3}0.587{col 69}{space 4}-.0012561{col 82}{space 3} .0007115
{txt}{space 16}pre_posters {c |}{col 29}{res}{space 2} .4689181{col 41}{space 2} .0331369{col 52}{space 1}   14.15{col 61}{space 3}0.000{col 69}{space 4} .4038875{col 82}{space 3} .5339487
{txt}{space 18}pre_booth {c |}{col 29}{res}{space 2}  .045183{col 41}{space 2} .0514816{col 52}{space 1}    0.88{col 61}{space 3}0.380{col 69}{space 4}-.0558486{col 82}{space 3} .1462147
{txt}{space 17}pre_online {c |}{col 29}{res}{space 2} .0452371{col 41}{space 2} .0358575{col 52}{space 1}    1.26{col 61}{space 3}0.207{col 69}{space 4}-.0251325{col 82}{space 3} .1156068
{txt}{space 19}pre_call {c |}{col 29}{res}{space 2}-.0069502{col 41}{space 2} .0407048{col 52}{space 1}   -0.17{col 61}{space 3}0.864{col 69}{space 4}-.0868326{col 82}{space 3} .0729322
{txt}{space 16}pre_friends {c |}{col 29}{res}{space 2} .0364275{col 41}{space 2}  .044562{col 52}{space 1}    0.82{col 61}{space 3}0.414{col 69}{space 4}-.0510247{col 82}{space 3} .1238798
{txt}{space 17}pre_others {c |}{col 29}{res}{space 2} .0044435{col 41}{space 2} .0441153{col 52}{space 1}    0.10{col 61}{space 3}0.920{col 69}{space 4}-.0821319{col 82}{space 3} .0910189
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .5318357{col 41}{space 2} .0558814{col 52}{space 1}    9.52{col 61}{space 3}0.000{col 69}{space 4} .4221693{col 82}{space 3}  .641502
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} int_posters{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0111685{col 26}{space 2} .0405622{col 37}{space 1}    0.28{col 46}{space 3}0.783{col 54}{space 4}-.0684341{col 67}{space 3} .0907711
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} int_posters{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0216311{col 26}{space 2}  .042734{col 37}{space 1}    0.51{col 46}{space 3}0.613{col 54}{space 4}-.0622337{col 67}{space 3} .1054958
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} int_posters{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0057336{col 26}{space 2}  .042519{col 37}{space 1}    0.13{col 46}{space 3}0.893{col 54}{space 4}-.0777092{col 67}{space 3} .0891763
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} int_posters{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0256576{col 26}{space 2} .0421841{col 37}{space 1}    0.61{col 46}{space 3}0.543{col 54}{space 4}-.0571281{col 67}{space 3} .1084433
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(20, 943)        =  {res}    17.72
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2351
                                                {txt}Root MSE          =    {res} .38905

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                int_friends{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2} .0632693{col 41}{space 2} .0378193{col 52}{space 1}    1.67{col 61}{space 3}0.095{col 69}{space 4}-.0109504{col 82}{space 3}  .137489
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2}  .039694{col 41}{space 2} .0382055{col 52}{space 1}    1.04{col 61}{space 3}0.299{col 69}{space 4}-.0352836{col 82}{space 3} .1146716
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} .0750662{col 41}{space 2} .0375264{col 52}{space 1}    2.00{col 61}{space 3}0.046{col 69}{space 4} .0014212{col 82}{space 3} .1487112
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} .0290379{col 41}{space 2}  .038682{col 52}{space 1}    0.75{col 61}{space 3}0.453{col 69}{space 4}-.0468748{col 82}{space 3} .1049506
{txt}{space 14}z_voice_prior {c |}{col 29}{res}{space 2} .0805655{col 41}{space 2} .0136906{col 52}{space 1}    5.88{col 61}{space 3}0.000{col 69}{space 4}  .053698{col 82}{space 3} .1074331
{txt}{space 21}female {c |}{col 29}{res}{space 2} .0011307{col 41}{space 2} .0312655{col 52}{space 1}    0.04{col 61}{space 3}0.971{col 69}{space 4}-.0602274{col 82}{space 3} .0624887
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.0001719{col 41}{space 2} .0009804{col 52}{space 1}   -0.18{col 61}{space 3}0.861{col 69}{space 4}-.0020958{col 82}{space 3} .0017521
{txt}{space 15}member_years {c |}{col 29}{res}{space 2} .0018761{col 41}{space 2} .0011254{col 52}{space 1}    1.67{col 61}{space 3}0.096{col 69}{space 4}-.0003325{col 82}{space 3} .0040846
{txt}{space 15}member_years {c |}{col 29}{res}{space 2}        0{col 41}{txt}  (omitted)
{space 6}d_experience_campaign {c |}{col 29}{res}{space 2}-.4565204{col 41}{space 2} .0631115{col 52}{space 1}   -7.23{col 61}{space 3}0.000{col 69}{space 4}-.5803755{col 82}{space 3}-.3326653
{txt}{space 16}z_votes_own {c |}{col 29}{res}{space 2} .0337477{col 41}{space 2} .0175608{col 52}{space 1}    1.92{col 61}{space 3}0.055{col 69}{space 4}-.0007152{col 82}{space 3} .0682106
{txt}{space 12}z_votes_other_1 {c |}{col 29}{res}{space 2}-.0199664{col 41}{space 2} .0135219{col 52}{space 1}   -1.48{col 61}{space 3}0.140{col 69}{space 4} -.046503{col 82}{space 3} .0065702
{txt}{space 12}z_votes_other_2 {c |}{col 29}{res}{space 2}-.0357584{col 41}{space 2} .0132004{col 52}{space 1}   -2.71{col 61}{space 3}0.007{col 69}{space 4} -.061664{col 82}{space 3}-.0098528
{txt}{space 13}pre_doortodoor {c |}{col 29}{res}{space 2}-.0112535{col 41}{space 2} .0351993{col 52}{space 1}   -0.32{col 61}{space 3}0.749{col 69}{space 4}-.0803314{col 82}{space 3} .0578245
{txt}{space 8}pre_days_doortodoor {c |}{col 29}{res}{space 2}-.0004207{col 41}{space 2} .0004437{col 52}{space 1}   -0.95{col 61}{space 3}0.343{col 69}{space 4}-.0012915{col 82}{space 3}   .00045
{txt}{space 16}pre_posters {c |}{col 29}{res}{space 2}-.0434137{col 41}{space 2} .0383755{col 52}{space 1}   -1.13{col 61}{space 3}0.258{col 69}{space 4} -.118725{col 82}{space 3} .0318977
{txt}{space 18}pre_booth {c |}{col 29}{res}{space 2}-.1014046{col 41}{space 2} .0454963{col 52}{space 1}   -2.23{col 61}{space 3}0.026{col 69}{space 4}-.1906903{col 82}{space 3} -.012119
{txt}{space 17}pre_online {c |}{col 29}{res}{space 2} .1144549{col 41}{space 2} .0326009{col 52}{space 1}    3.51{col 61}{space 3}0.000{col 69}{space 4} .0504762{col 82}{space 3} .1784335
{txt}{space 19}pre_call {c |}{col 29}{res}{space 2} .0433057{col 41}{space 2} .0341416{col 52}{space 1}    1.27{col 61}{space 3}0.205{col 69}{space 4}-.0236966{col 82}{space 3}  .110308
{txt}{space 16}pre_friends {c |}{col 29}{res}{space 2} .5126868{col 41}{space 2} .0467202{col 52}{space 1}   10.97{col 61}{space 3}0.000{col 69}{space 4} .4209992{col 82}{space 3} .6043745
{txt}{space 17}pre_others {c |}{col 29}{res}{space 2}-.0060298{col 41}{space 2} .0371671{col 52}{space 1}   -0.16{col 61}{space 3}0.871{col 69}{space 4}-.0789697{col 82}{space 3}   .06691
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .7429991{col 41}{space 2} .0503863{col 52}{space 1}   14.75{col 61}{space 3}0.000{col 69}{space 4} .6441168{col 82}{space 3} .8418813
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} int_friends{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0632693{col 26}{space 2} .0378193{col 37}{space 1}    1.67{col 46}{space 3}0.095{col 54}{space 4}-.0109504{col 67}{space 3}  .137489
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} int_friends{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0290379{col 26}{space 2}  .038682{col 37}{space 1}    0.75{col 46}{space 3}0.453{col 54}{space 4}-.0468748{col 67}{space 3} .1049506
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} int_friends{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .039694{col 26}{space 2} .0382055{col 37}{space 1}    1.04{col 46}{space 3}0.299{col 54}{space 4}-.0352836{col 67}{space 3} .1146716
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} int_friends{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0750662{col 26}{space 2} .0375264{col 37}{space 1}    2.00{col 46}{space 3}0.046{col 54}{space 4} .0014212{col 67}{space 3} .1487112
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(20, 943)        =  {res}    67.94
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4176
                                                {txt}Root MSE          =    {res} .38578

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                 int_online{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2} -.018707{col 41}{space 2} .0361977{col 52}{space 1}   -0.52{col 61}{space 3}0.605{col 69}{space 4}-.0897445{col 82}{space 3} .0523304
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2} .0078921{col 41}{space 2} .0358847{col 52}{space 1}    0.22{col 61}{space 3}0.826{col 69}{space 4}-.0625311{col 82}{space 3} .0783153
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} .0432649{col 41}{space 2} .0383871{col 52}{space 1}    1.13{col 61}{space 3}0.260{col 69}{space 4}-.0320692{col 82}{space 3}  .118599
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2}-.0089319{col 41}{space 2} .0402423{col 52}{space 1}   -0.22{col 61}{space 3}0.824{col 69}{space 4}-.0879068{col 82}{space 3}  .070043
{txt}{space 14}z_voice_prior {c |}{col 29}{res}{space 2} .0243026{col 41}{space 2} .0126685{col 52}{space 1}    1.92{col 61}{space 3}0.055{col 69}{space 4}-.0005592{col 82}{space 3} .0491644
{txt}{space 21}female {c |}{col 29}{res}{space 2}-.0070327{col 41}{space 2} .0319397{col 52}{space 1}   -0.22{col 61}{space 3}0.826{col 69}{space 4}-.0697138{col 82}{space 3} .0556484
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.0039661{col 41}{space 2} .0009869{col 52}{space 1}   -4.02{col 61}{space 3}0.000{col 69}{space 4}-.0059029{col 82}{space 3}-.0020294
{txt}{space 15}member_years {c |}{col 29}{res}{space 2} .0001947{col 41}{space 2} .0010284{col 52}{space 1}    0.19{col 61}{space 3}0.850{col 69}{space 4}-.0018234{col 82}{space 3} .0022129
{txt}{space 15}member_years {c |}{col 29}{res}{space 2}        0{col 41}{txt}  (omitted)
{space 6}d_experience_campaign {c |}{col 29}{res}{space 2}-.2942791{col 41}{space 2} .0595496{col 52}{space 1}   -4.94{col 61}{space 3}0.000{col 69}{space 4}-.4111441{col 82}{space 3}-.1774142
{txt}{space 16}z_votes_own {c |}{col 29}{res}{space 2} .0392323{col 41}{space 2} .0160287{col 52}{space 1}    2.45{col 61}{space 3}0.015{col 69}{space 4} .0077762{col 82}{space 3} .0706883
{txt}{space 12}z_votes_other_1 {c |}{col 29}{res}{space 2}  .011542{col 41}{space 2} .0138677{col 52}{space 1}    0.83{col 61}{space 3}0.405{col 69}{space 4}-.0156731{col 82}{space 3} .0387571
{txt}{space 12}z_votes_other_2 {c |}{col 29}{res}{space 2}-.0177244{col 41}{space 2} .0126566{col 52}{space 1}   -1.40{col 61}{space 3}0.162{col 69}{space 4}-.0425627{col 82}{space 3} .0071138
{txt}{space 13}pre_doortodoor {c |}{col 29}{res}{space 2}-.0301645{col 41}{space 2} .0298903{col 52}{space 1}   -1.01{col 61}{space 3}0.313{col 69}{space 4}-.0888237{col 82}{space 3} .0284947
{txt}{space 8}pre_days_doortodoor {c |}{col 29}{res}{space 2}-.0010248{col 41}{space 2} .0004562{col 52}{space 1}   -2.25{col 61}{space 3}0.025{col 69}{space 4}  -.00192{col 82}{space 3}-.0001296
{txt}{space 16}pre_posters {c |}{col 29}{res}{space 2} .0201948{col 41}{space 2}  .035159{col 52}{space 1}    0.57{col 61}{space 3}0.566{col 69}{space 4}-.0488041{col 82}{space 3} .0891937
{txt}{space 18}pre_booth {c |}{col 29}{res}{space 2}-.1025065{col 41}{space 2} .0457714{col 52}{space 1}   -2.24{col 61}{space 3}0.025{col 69}{space 4}-.1923321{col 82}{space 3} -.012681
{txt}{space 17}pre_online {c |}{col 29}{res}{space 2} .6755681{col 41}{space 2} .0297455{col 52}{space 1}   22.71{col 61}{space 3}0.000{col 69}{space 4}  .617193{col 82}{space 3} .7339432
{txt}{space 19}pre_call {c |}{col 29}{res}{space 2} .0029286{col 41}{space 2} .0347242{col 52}{space 1}    0.08{col 61}{space 3}0.933{col 69}{space 4}-.0652171{col 82}{space 3} .0710743
{txt}{space 16}pre_friends {c |}{col 29}{res}{space 2} .0664932{col 41}{space 2}  .032668{col 52}{space 1}    2.04{col 61}{space 3}0.042{col 69}{space 4} .0023828{col 82}{space 3} .1306036
{txt}{space 17}pre_others {c |}{col 29}{res}{space 2}-.0164775{col 41}{space 2} .0339608{col 52}{space 1}   -0.49{col 61}{space 3}0.628{col 69}{space 4} -.083125{col 82}{space 3} .0501699
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .6501051{col 41}{space 2} .0547702{col 52}{space 1}   11.87{col 61}{space 3}0.000{col 69}{space 4} .5426195{col 82}{space 3} .7575906
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  int_online{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} -.018707{col 26}{space 2} .0361977{col 37}{space 1}   -0.52{col 46}{space 3}0.605{col 54}{space 4}-.0897445{col 67}{space 3} .0523304
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  int_online{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0089319{col 26}{space 2} .0402423{col 37}{space 1}   -0.22{col 46}{space 3}0.824{col 54}{space 4}-.0879068{col 67}{space 3}  .070043
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  int_online{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0078921{col 26}{space 2} .0358847{col 37}{space 1}    0.22{col 46}{space 3}0.826{col 54}{space 4}-.0625311{col 67}{space 3} .0783153
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  int_online{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0432649{col 26}{space 2} .0383871{col 37}{space 1}    1.13{col 46}{space 3}0.260{col 54}{space 4}-.0320692{col 67}{space 3}  .118599
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       964
                                                {txt}F(20, 943)        =  {res}    26.73
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2742
                                                {txt}Root MSE          =    {res} .40657

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}             int_doortodoor{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2} .0505969{col 41}{space 2} .0391295{col 52}{space 1}    1.29{col 61}{space 3}0.196{col 69}{space 4} -.026194{col 82}{space 3} .1273879
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2}-.0014709{col 41}{space 2} .0400989{col 52}{space 1}   -0.04{col 61}{space 3}0.971{col 69}{space 4}-.0801643{col 82}{space 3} .0772225
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} .0114251{col 41}{space 2} .0396116{col 52}{space 1}    0.29{col 61}{space 3}0.773{col 69}{space 4}-.0663121{col 82}{space 3} .0891623
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2}   .01919{col 41}{space 2} .0400278{col 52}{space 1}    0.48{col 61}{space 3}0.632{col 69}{space 4}-.0593639{col 82}{space 3} .0977438
{txt}{space 14}z_voice_prior {c |}{col 29}{res}{space 2} .0793288{col 41}{space 2} .0126322{col 52}{space 1}    6.28{col 61}{space 3}0.000{col 69}{space 4} .0545383{col 82}{space 3} .1041193
{txt}{space 21}female {c |}{col 29}{res}{space 2} .0005003{col 41}{space 2} .0336264{col 52}{space 1}    0.01{col 61}{space 3}0.988{col 69}{space 4}-.0654909{col 82}{space 3} .0664915
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.0053618{col 41}{space 2} .0010216{col 52}{space 1}   -5.25{col 61}{space 3}0.000{col 69}{space 4}-.0073667{col 82}{space 3} -.003357
{txt}{space 15}member_years {c |}{col 29}{res}{space 2}-.0024667{col 41}{space 2} .0011095{col 52}{space 1}   -2.22{col 61}{space 3}0.026{col 69}{space 4}-.0046441{col 82}{space 3}-.0002893
{txt}{space 15}member_years {c |}{col 29}{res}{space 2}        0{col 41}{txt}  (omitted)
{space 6}d_experience_campaign {c |}{col 29}{res}{space 2}-.1747326{col 41}{space 2} .0557537{col 52}{space 1}   -3.13{col 61}{space 3}0.002{col 69}{space 4}-.2841483{col 82}{space 3} -.065317
{txt}{space 16}z_votes_own {c |}{col 29}{res}{space 2}-.0070008{col 41}{space 2} .0136089{col 52}{space 1}   -0.51{col 61}{space 3}0.607{col 69}{space 4}-.0337081{col 82}{space 3} .0197064
{txt}{space 12}z_votes_other_1 {c |}{col 29}{res}{space 2}-.0140906{col 41}{space 2} .0126352{col 52}{space 1}   -1.12{col 61}{space 3}0.265{col 69}{space 4}-.0388869{col 82}{space 3} .0107056
{txt}{space 12}z_votes_other_2 {c |}{col 29}{res}{space 2} .0096977{col 41}{space 2} .0128519{col 52}{space 1}    0.75{col 61}{space 3}0.451{col 69}{space 4}-.0155239{col 82}{space 3} .0349192
{txt}{space 13}pre_doortodoor {c |}{col 29}{res}{space 2} .3458352{col 41}{space 2}  .032796{col 52}{space 1}   10.55{col 61}{space 3}0.000{col 69}{space 4} .2814736{col 82}{space 3} .4101968
{txt}{space 8}pre_days_doortodoor {c |}{col 29}{res}{space 2} .0006493{col 41}{space 2} .0005435{col 52}{space 1}    1.19{col 61}{space 3}0.233{col 69}{space 4}-.0004173{col 82}{space 3}  .001716
{txt}{space 16}pre_posters {c |}{col 29}{res}{space 2}-.0496613{col 41}{space 2} .0387734{col 52}{space 1}   -1.28{col 61}{space 3}0.201{col 69}{space 4}-.1257535{col 82}{space 3} .0264308
{txt}{space 18}pre_booth {c |}{col 29}{res}{space 2} .0944641{col 41}{space 2} .0420228{col 52}{space 1}    2.25{col 61}{space 3}0.025{col 69}{space 4}  .011995{col 82}{space 3} .1769331
{txt}{space 17}pre_online {c |}{col 29}{res}{space 2} .0158184{col 41}{space 2} .0342973{col 52}{space 1}    0.46{col 61}{space 3}0.645{col 69}{space 4}-.0514894{col 82}{space 3} .0831262
{txt}{space 19}pre_call {c |}{col 29}{res}{space 2} .0963187{col 41}{space 2}  .041565{col 52}{space 1}    2.32{col 61}{space 3}0.021{col 69}{space 4} .0147481{col 82}{space 3} .1778892
{txt}{space 16}pre_friends {c |}{col 29}{res}{space 2} .0555732{col 41}{space 2} .0387371{col 52}{space 1}    1.43{col 61}{space 3}0.152{col 69}{space 4}-.0204476{col 82}{space 3}  .131594
{txt}{space 17}pre_others {c |}{col 29}{res}{space 2} .0198634{col 41}{space 2} .0397659{col 52}{space 1}    0.50{col 61}{space 3}0.618{col 69}{space 4}-.0581765{col 82}{space 3} .0979033
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}  .457848{col 41}{space 2}  .053489{col 52}{space 1}    8.56{col 61}{space 3}0.000{col 69}{space 4} .3528768{col 82}{space 3} .5628191
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}int_doorto~r{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0505969{col 26}{space 2} .0391295{col 37}{space 1}    1.29{col 46}{space 3}0.196{col 54}{space 4} -.026194{col 67}{space 3} .1273879
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}int_doorto~r{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}   .01919{col 26}{space 2} .0400278{col 37}{space 1}    0.48{col 46}{space 3}0.632{col 54}{space 4}-.0593639{col 67}{space 3} .0977438
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}int_doorto~r{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0014709{col 26}{space 2} .0400989{col 37}{space 1}   -0.04{col 46}{space 3}0.971{col 54}{space 4}-.0801643{col 67}{space 3} .0772225
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}int_doorto~r{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0114251{col 26}{space 2} .0396116{col 37}{space 1}    0.29{col 46}{space 3}0.773{col 54}{space 4}-.0663121{col 67}{space 3} .0891623
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       961
                                                {txt}F(20, 940)        =  {res}     8.11
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1866
                                                {txt}Root MSE          =    {res} 5.1909

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}        int_days_doortodoor{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2} .4937398{col 41}{space 2} .4912399{col 52}{space 1}    1.01{col 61}{space 3}0.315{col 69}{space 4} -.470314{col 82}{space 3} 1.457794
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2} .7082184{col 41}{space 2} .5572194{col 52}{space 1}    1.27{col 61}{space 3}0.204{col 69}{space 4}-.3853195{col 82}{space 3} 1.801756
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} .1024307{col 41}{space 2} .4706382{col 52}{space 1}    0.22{col 61}{space 3}0.828{col 69}{space 4}-.8211925{col 82}{space 3} 1.026054
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} .0656662{col 41}{space 2} .4921196{col 52}{space 1}    0.13{col 61}{space 3}0.894{col 69}{space 4}-.9001139{col 82}{space 3} 1.031446
{txt}{space 14}z_voice_prior {c |}{col 29}{res}{space 2} .1293162{col 41}{space 2}   .18271{col 52}{space 1}    0.71{col 61}{space 3}0.479{col 69}{space 4}-.2292505{col 82}{space 3} .4878829
{txt}{space 21}female {c |}{col 29}{res}{space 2}-.1505927{col 41}{space 2} .4297425{col 52}{space 1}   -0.35{col 61}{space 3}0.726{col 69}{space 4}-.9939584{col 82}{space 3}  .692773
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.0454474{col 41}{space 2} .0128813{col 52}{space 1}   -3.53{col 61}{space 3}0.000{col 69}{space 4}-.0707269{col 82}{space 3} -.020168
{txt}{space 15}member_years {c |}{col 29}{res}{space 2}-.0399636{col 41}{space 2} .0143344{col 52}{space 1}   -2.79{col 61}{space 3}0.005{col 69}{space 4}-.0680947{col 82}{space 3}-.0118326
{txt}{space 15}member_years {c |}{col 29}{res}{space 2}        0{col 41}{txt}  (omitted)
{space 6}d_experience_campaign {c |}{col 29}{res}{space 2}-.8818402{col 41}{space 2} .6897083{col 52}{space 1}   -1.28{col 61}{space 3}0.201{col 69}{space 4}-2.235386{col 82}{space 3}  .471706
{txt}{space 16}z_votes_own {c |}{col 29}{res}{space 2} .0678329{col 41}{space 2} .1733416{col 52}{space 1}    0.39{col 61}{space 3}0.696{col 69}{space 4}-.2723484{col 82}{space 3} .4080141
{txt}{space 12}z_votes_other_1 {c |}{col 29}{res}{space 2}-.2756249{col 41}{space 2} .1530229{col 52}{space 1}   -1.80{col 61}{space 3}0.072{col 69}{space 4}-.5759311{col 82}{space 3} .0246812
{txt}{space 12}z_votes_other_2 {c |}{col 29}{res}{space 2}-.0825099{col 41}{space 2} .1912209{col 52}{space 1}   -0.43{col 61}{space 3}0.666{col 69}{space 4}-.4577791{col 82}{space 3} .2927593
{txt}{space 13}pre_doortodoor {c |}{col 29}{res}{space 2} 1.593043{col 41}{space 2} .3532886{col 52}{space 1}    4.51{col 61}{space 3}0.000{col 69}{space 4} .8997177{col 82}{space 3} 2.286369
{txt}{space 8}pre_days_doortodoor {c |}{col 29}{res}{space 2} .0427053{col 41}{space 2} .0119767{col 52}{space 1}    3.57{col 61}{space 3}0.000{col 69}{space 4} .0192012{col 82}{space 3} .0662094
{txt}{space 16}pre_posters {c |}{col 29}{res}{space 2}-.4133538{col 41}{space 2} .4513274{col 52}{space 1}   -0.92{col 61}{space 3}0.360{col 69}{space 4} -1.29908{col 82}{space 3} .4723721
{txt}{space 18}pre_booth {c |}{col 29}{res}{space 2} .5717208{col 41}{space 2} .5223887{col 52}{space 1}    1.09{col 61}{space 3}0.274{col 69}{space 4}-.4534622{col 82}{space 3} 1.596904
{txt}{space 17}pre_online {c |}{col 29}{res}{space 2} .5925913{col 41}{space 2} .3754491{col 52}{space 1}    1.58{col 61}{space 3}0.115{col 69}{space 4} -.144224{col 82}{space 3} 1.329407
{txt}{space 19}pre_call {c |}{col 29}{res}{space 2} 1.234369{col 41}{space 2} .6057566{col 52}{space 1}    2.04{col 61}{space 3}0.042{col 69}{space 4} .0455776{col 82}{space 3} 2.423161
{txt}{space 16}pre_friends {c |}{col 29}{res}{space 2} .3425582{col 41}{space 2} .3874827{col 52}{space 1}    0.88{col 61}{space 3}0.377{col 69}{space 4} -.417873{col 82}{space 3} 1.102989
{txt}{space 17}pre_others {c |}{col 29}{res}{space 2} .3685949{col 41}{space 2} .4928977{col 52}{space 1}    0.75{col 61}{space 3}0.455{col 69}{space 4}-.5987123{col 82}{space 3} 1.335902
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 3.487227{col 41}{space 2} .6071843{col 52}{space 1}    5.74{col 61}{space 3}0.000{col 69}{space 4} 2.295634{col 82}{space 3} 4.678821
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}int_days_d~r{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .4937398{col 26}{space 2} .4912399{col 37}{space 1}    1.01{col 46}{space 3}0.315{col 54}{space 4} -.470314{col 67}{space 3} 1.457794
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}int_days_d~r{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0656662{col 26}{space 2} .4921196{col 37}{space 1}    0.13{col 46}{space 3}0.894{col 54}{space 4}-.9001139{col 67}{space 3} 1.031446
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}int_days_d~r{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .7082184{col 26}{space 2} .5572194{col 37}{space 1}    1.27{col 46}{space 3}0.204{col 54}{space 4}-.3853195{col 67}{space 3} 1.801756
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}int_days_d~r{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1024307{col 26}{space 2} .4706382{col 37}{space 1}    0.22{col 46}{space 3}0.828{col 54}{space 4}-.8211925{col 67}{space 3} 1.026054
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
. 
.          
. 
. loc rowlabels " " " "  " "Treatment: instrumental" " " " "  "Treatment: instrumental + feedback" " " " " "Treatment: intrinsic" " " " "  "Treatment: intrinsic + feedback" " " " "  "Control mean" "Number of Observations" "
{txt}
{com}. 
. loc rowstats ""
{txt}
{com}. 
. forval i = 1/16 {c -(}
{txt}  2{com}.     loc rowstats "`rowstats' thisstat`i'"
{txt}  3{com}. {c )-}
{txt}
{com}. 
. 
. esttab col* using "$output/treat_intentions_detailed.tex", replace cells(none) booktabs nonotes  compress alignment(c) nogap noobs nobaselevels label stats(`rowstats', labels(`rowlabels')) ///
>   mtitle("\# activities" "Campaign booth" "Phone canvassing"  "Stick posters" "Convince friends" "Online campaigning"  "Any canvassing"  "\# days canvassing" )
{res}{txt}(output written to {browse  `"/Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/output/treat_intentions_detailed.tex"'})

{com}. 
. 
. 
{txt}end of do-file

{com}. do "$scripts/tables/Table_A16_treat_fs_detail.do"
{txt}
{com}. 
. 
. use "$data/clean/clean_main_complete.dta" , replace
{txt}
{com}. 
. 
. loc experiments "z_score_fs  z_fs_engagement z_fs_voice z_fs_connected z_fs_interest "
{txt}
{com}. 
.                    
.                    
. preserve
{txt}
{com}. 
. clear all
{res}{txt}
{com}. eststo clear
{txt}
{com}. estimates drop _all
{txt}
{com}. 
. set obs 10
{txt}{p}
number of observations (_N)  was 0,
now 10
{p_end}

{com}. qui gen x = 1
{txt}
{com}. qui gen y = 1
{txt}
{com}. 
. loc columns = 0
{txt}
{com}. 
. foreach choice in `experiments' `experiments'  {c -(}
{txt}  2{com}. 
.     loc ++columns
{txt}  3{com}.     qui eststo col`columns': reg x y
{txt}  4{com}. 
. {c )-}
{txt}
{com}. 
. restore
{txt}
{com}. 
. 
. /* Statistics */
. 
. loc colnum = 1
{txt}
{com}. loc colnames ""
{txt}
{com}. 
. 
. foreach choice in `experiments' {c -(}
{txt}  2{com}. 
. /* Statistics */
. 
. 
.  
. ********************************Panel B*****************************************
.         
.  xi: reg `choice'  voice_instrumental voice_intrinsic voice_feedback_intrinsic voice_feedback_instrumental  , vce(r) // 
{txt}  3{com}.    
.    
.     sigstar voice_instrumental   , prec(3)
{txt}  4{com}.     estadd loc thisstat3 = "`r(bstar)'": col`colnum'
{txt}  5{com}.     estadd loc thisstat4 = "`r(sestar)'": col`colnum'
{txt}  6{com}.    
.     sigstar voice_feedback_instrumental , prec(3)
{txt}  7{com}.     estadd loc thisstat6 = "`r(bstar)'": col`colnum'
{txt}  8{com}.     estadd loc thisstat7 = "`r(sestar)'": col`colnum'
{txt}  9{com}.         
.         sigstar  voice_intrinsic , prec(3)
{txt} 10{com}.     estadd loc thisstat9 = "`r(bstar)'": col`colnum'
{txt} 11{com}.     estadd loc thisstat10 = "`r(sestar)'": col`colnum'
{txt} 12{com}.                 
.         sigstar voice_feedback_intrinsic , prec(3)
{txt} 13{com}.     estadd loc thisstat12 = "`r(bstar)'": col`colnum'
{txt} 14{com}.     estadd loc thisstat13 = "`r(sestar)'": col`colnum'
{txt} 15{com}. 
.                 
.                  
.         qui sum `choice' if control==1
{txt} 16{com}.         estadd loc thisstat15 = string(`r(mean)', "%9.2f"): col`colnum'
{txt} 17{com}.         
.         qui sum `choice' 
{txt} 18{com}.     estadd loc thisstat16 = string(`r(N)', "%9.0f"): col`colnum'
{txt} 19{com}.         
.         
.         
.     loc ++colnum
{txt} 20{com}. 
.         
.         
.          
.  xi: reg `choice'  voice_instrumental voice_intrinsic voice_feedback_intrinsic voice_feedback_instrumental $control , vce(r) // 
{txt} 21{com}.    
.    
.     sigstar voice_instrumental   , prec(3)
{txt} 22{com}.     estadd loc thisstat3 = "`r(bstar)'": col`colnum'
{txt} 23{com}.     estadd loc thisstat4 = "`r(sestar)'": col`colnum'
{txt} 24{com}.    
.     sigstar voice_feedback_instrumental , prec(3)
{txt} 25{com}.     estadd loc thisstat6 = "`r(bstar)'": col`colnum'
{txt} 26{com}.     estadd loc thisstat7 = "`r(sestar)'": col`colnum'
{txt} 27{com}.         
.         sigstar  voice_intrinsic , prec(3)
{txt} 28{com}.     estadd loc thisstat9 = "`r(bstar)'": col`colnum'
{txt} 29{com}.     estadd loc thisstat10 = "`r(sestar)'": col`colnum'
{txt} 30{com}.                 
.         sigstar voice_feedback_intrinsic , prec(3)
{txt} 31{com}.     estadd loc thisstat12 = "`r(bstar)'": col`colnum'
{txt} 32{com}.     estadd loc thisstat13 = "`r(sestar)'": col`colnum'
{txt} 33{com}. 
.                 
.                  
.         qui sum `choice' if control==1
{txt} 34{com}.         estadd loc thisstat15 = string(`r(mean)', "%9.2f"): col`colnum'
{txt} 35{com}.         
.         qui sum `choice' 
{txt} 36{com}.     estadd loc thisstat16 = string(`r(N)', "%9.0f"): col`colnum'
{txt} 37{com}.         
.                 
.         estadd loc thisstat17 = "X" : col`colnum'
{txt} 38{com}.         
.         
.     loc ++colnum
{txt} 39{com}. 
. 
.         {c )-}

{txt}Linear regression                               Number of obs     = {res}       955
                                                {txt}F(4, 950)         =  {res}     1.62
                                                {txt}Prob > F          = {res}    0.1675
                                                {txt}R-squared         = {res}    0.0067
                                                {txt}Root MSE          =    {res} .99382

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                 z_score_fs{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2}  .187039{col 41}{space 2} .0923743{col 52}{space 1}    2.02{col 61}{space 3}0.043{col 69}{space 4} .0057578{col 82}{space 3} .3683203
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2}  .002669{col 41}{space 2} .0985032{col 52}{space 1}    0.03{col 61}{space 3}0.978{col 69}{space 4}  -.19064{col 82}{space 3}  .195978
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} .1247823{col 41}{space 2} .0954396{col 52}{space 1}    1.31{col 61}{space 3}0.191{col 69}{space 4}-.0625145{col 82}{space 3} .3120792
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} .1654175{col 41}{space 2} .0997808{col 52}{space 1}    1.66{col 61}{space 3}0.098{col 69}{space 4}-.0303987{col 82}{space 3} .3612337
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-1.71e-10{col 41}{space 2} .0554452{col 52}{space 1}   -0.00{col 61}{space 3}1.000{col 69}{space 4}-.1088092{col 82}{space 3} .1088092
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .187039{col 26}{space 2} .0923743{col 37}{space 1}    2.02{col 46}{space 3}0.043{col 54}{space 4} .0057578{col 67}{space 3} .3683203
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1654175{col 26}{space 2} .0997808{col 37}{space 1}    1.66{col 46}{space 3}0.098{col 54}{space 4}-.0303987{col 67}{space 3} .3612337
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .002669{col 26}{space 2} .0985032{col 37}{space 1}    0.03{col 46}{space 3}0.978{col 54}{space 4}  -.19064{col 67}{space 3}  .195978
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1247823{col 26}{space 2} .0954396{col 37}{space 1}    1.31{col 46}{space 3}0.191{col 54}{space 4}-.0625145{col 67}{space 3} .3120792
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(20, 934)        =  {res}    54.24
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.5501
                                                {txt}Root MSE          =    {res} .67458

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                 z_score_fs{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2}  .087961{col 41}{space 2} .0644398{col 52}{space 1}    1.37{col 61}{space 3}0.173{col 69}{space 4}-.0385026{col 82}{space 3} .2144246
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2}-.0189756{col 41}{space 2}  .066444{col 52}{space 1}   -0.29{col 61}{space 3}0.775{col 69}{space 4}-.1493723{col 82}{space 3} .1114212
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} .0421558{col 41}{space 2} .0675813{col 52}{space 1}    0.62{col 61}{space 3}0.533{col 69}{space 4} -.090473{col 82}{space 3} .1747846
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} .1374595{col 41}{space 2} .0679676{col 52}{space 1}    2.02{col 61}{space 3}0.043{col 69}{space 4} .0040726{col 82}{space 3} .2708465
{txt}{space 14}z_voice_prior {c |}{col 29}{res}{space 2} .6581403{col 41}{space 2} .0258875{col 52}{space 1}   25.42{col 61}{space 3}0.000{col 69}{space 4} .6073359{col 82}{space 3} .7089447
{txt}{space 21}female {c |}{col 29}{res}{space 2}-.0602508{col 41}{space 2} .0560422{col 52}{space 1}   -1.08{col 61}{space 3}0.283{col 69}{space 4}-.1702341{col 82}{space 3} .0497324
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.0021514{col 41}{space 2}  .001795{col 52}{space 1}   -1.20{col 61}{space 3}0.231{col 69}{space 4}-.0056741{col 82}{space 3} .0013714
{txt}{space 15}member_years {c |}{col 29}{res}{space 2} .0004355{col 41}{space 2} .0020412{col 52}{space 1}    0.21{col 61}{space 3}0.831{col 69}{space 4}-.0035705{col 82}{space 3} .0044414
{txt}{space 15}member_years {c |}{col 29}{res}{space 2}        0{col 41}{txt}  (omitted)
{space 6}d_experience_campaign {c |}{col 29}{res}{space 2}-.2215981{col 41}{space 2} .1257188{col 52}{space 1}   -1.76{col 61}{space 3}0.078{col 69}{space 4}-.4683221{col 82}{space 3}  .025126
{txt}{space 16}z_votes_own {c |}{col 29}{res}{space 2} .1111615{col 41}{space 2} .0459255{col 52}{space 1}    2.42{col 61}{space 3}0.016{col 69}{space 4} .0210323{col 82}{space 3} .2012906
{txt}{space 12}z_votes_other_1 {c |}{col 29}{res}{space 2} .0353334{col 41}{space 2} .0281279{col 52}{space 1}    1.26{col 61}{space 3}0.209{col 69}{space 4}-.0198677{col 82}{space 3} .0905346
{txt}{space 12}z_votes_other_2 {c |}{col 29}{res}{space 2}-.0782344{col 41}{space 2} .0275845{col 52}{space 1}   -2.84{col 61}{space 3}0.005{col 69}{space 4}-.1323692{col 82}{space 3}-.0240995
{txt}{space 13}pre_doortodoor {c |}{col 29}{res}{space 2}-.0196242{col 41}{space 2}  .061726{col 52}{space 1}   -0.32{col 61}{space 3}0.751{col 69}{space 4}-.1407619{col 82}{space 3} .1015134
{txt}{space 8}pre_days_doortodoor {c |}{col 29}{res}{space 2}-.0015486{col 41}{space 2}   .00069{col 52}{space 1}   -2.24{col 61}{space 3}0.025{col 69}{space 4}-.0029026{col 82}{space 3}-.0001945
{txt}{space 16}pre_posters {c |}{col 29}{res}{space 2} .0243906{col 41}{space 2} .0663799{col 52}{space 1}    0.37{col 61}{space 3}0.713{col 69}{space 4}-.1058804{col 82}{space 3} .1546615
{txt}{space 18}pre_booth {c |}{col 29}{res}{space 2}  .004486{col 41}{space 2} .1016036{col 52}{space 1}    0.04{col 61}{space 3}0.965{col 69}{space 4}-.1949119{col 82}{space 3} .2038839
{txt}{space 17}pre_online {c |}{col 29}{res}{space 2} .0367417{col 41}{space 2} .0560861{col 52}{space 1}    0.66{col 61}{space 3}0.513{col 69}{space 4}-.0733278{col 82}{space 3} .1468112
{txt}{space 19}pre_call {c |}{col 29}{res}{space 2} .0713718{col 41}{space 2} .0599503{col 52}{space 1}    1.19{col 61}{space 3}0.234{col 69}{space 4}-.0462811{col 82}{space 3} .1890248
{txt}{space 16}pre_friends {c |}{col 29}{res}{space 2} .0716745{col 41}{space 2} .0780719{col 52}{space 1}    0.92{col 61}{space 3}0.359{col 69}{space 4}-.0815422{col 82}{space 3} .2248912
{txt}{space 17}pre_others {c |}{col 29}{res}{space 2} .0219072{col 41}{space 2} .0626509{col 52}{space 1}    0.35{col 61}{space 3}0.727{col 69}{space 4}-.1010456{col 82}{space 3}   .14486
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .2114295{col 41}{space 2}  .091472{col 52}{space 1}    2.31{col 61}{space 3}0.021{col 69}{space 4}  .031915{col 82}{space 3}  .390944
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .087961{col 26}{space 2} .0644398{col 37}{space 1}    1.37{col 46}{space 3}0.173{col 54}{space 4}-.0385026{col 67}{space 3} .2144246
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1374595{col 26}{space 2} .0679676{col 37}{space 1}    2.02{col 46}{space 3}0.043{col 54}{space 4} .0040726{col 67}{space 3} .2708465
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0189756{col 26}{space 2}  .066444{col 37}{space 1}   -0.29{col 46}{space 3}0.775{col 54}{space 4}-.1493723{col 67}{space 3} .1114212
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0421558{col 26}{space 2} .0675813{col 37}{space 1}    0.62{col 46}{space 3}0.533{col 54}{space 4} -.090473{col 67}{space 3} .1747846
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(4, 950)         =  {res}     1.60
                                                {txt}Prob > F          = {res}    0.1731
                                                {txt}R-squared         = {res}    0.0064
                                                {txt}Root MSE          =    {res} .98106

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}            z_fs_engagement{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2} .1984068{col 41}{space 2} .0891688{col 52}{space 1}    2.23{col 61}{space 3}0.026{col 69}{space 4} .0234163{col 82}{space 3} .3733974
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2}  .053331{col 41}{space 2} .0988035{col 52}{space 1}    0.54{col 61}{space 3}0.589{col 69}{space 4}-.1405672{col 82}{space 3} .2472293
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} .1561561{col 41}{space 2}  .094561{col 52}{space 1}    1.65{col 61}{space 3}0.099{col 69}{space 4}-.0294165{col 82}{space 3} .3417287
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} .1441607{col 41}{space 2} .0985019{col 52}{space 1}    1.46{col 61}{space 3}0.144{col 69}{space 4}-.0491457{col 82}{space 3} .3374671
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-1.63e-08{col 41}{space 2} .0554452{col 52}{space 1}   -0.00{col 61}{space 3}1.000{col 69}{space 4}-.1088092{col 82}{space 3} .1088092
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_engag~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1984068{col 26}{space 2} .0891688{col 37}{space 1}    2.23{col 46}{space 3}0.026{col 54}{space 4} .0234163{col 67}{space 3} .3733974
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_engag~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1441607{col 26}{space 2} .0985019{col 37}{space 1}    1.46{col 46}{space 3}0.144{col 54}{space 4}-.0491457{col 67}{space 3} .3374671
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_engag~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .053331{col 26}{space 2} .0988035{col 37}{space 1}    0.54{col 46}{space 3}0.589{col 54}{space 4}-.1405672{col 67}{space 3} .2472293
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_engag~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1561561{col 26}{space 2}  .094561{col 37}{space 1}    1.65{col 46}{space 3}0.099{col 54}{space 4}-.0294165{col 67}{space 3} .3417287
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(20, 934)        =  {res}    27.91
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4084
                                                {txt}Root MSE          =    {res} .76349

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}            z_fs_engagement{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2} .1082281{col 41}{space 2} .0726544{col 52}{space 1}    1.49{col 61}{space 3}0.137{col 69}{space 4}-.0343566{col 82}{space 3} .2508128
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2} .0242018{col 41}{space 2} .0728927{col 52}{space 1}    0.33{col 61}{space 3}0.740{col 69}{space 4}-.1188507{col 82}{space 3} .1672543
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} .0646621{col 41}{space 2} .0769433{col 52}{space 1}    0.84{col 61}{space 3}0.401{col 69}{space 4}-.0863397{col 82}{space 3}  .215664
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} .1008424{col 41}{space 2}   .07909{col 52}{space 1}    1.28{col 61}{space 3}0.203{col 69}{space 4}-.0543722{col 82}{space 3} .2560571
{txt}{space 14}z_voice_prior {c |}{col 29}{res}{space 2} .5560122{col 41}{space 2} .0297499{col 52}{space 1}   18.69{col 61}{space 3}0.000{col 69}{space 4} .4976277{col 82}{space 3} .6143966
{txt}{space 21}female {c |}{col 29}{res}{space 2}-.0354066{col 41}{space 2} .0638447{col 52}{space 1}   -0.55{col 61}{space 3}0.579{col 69}{space 4}-.1607022{col 82}{space 3}  .089889
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.0051048{col 41}{space 2} .0020229{col 52}{space 1}   -2.52{col 61}{space 3}0.012{col 69}{space 4}-.0090747{col 82}{space 3}-.0011349
{txt}{space 15}member_years {c |}{col 29}{res}{space 2} .0008826{col 41}{space 2}  .002271{col 52}{space 1}    0.39{col 61}{space 3}0.698{col 69}{space 4}-.0035744{col 82}{space 3} .0053395
{txt}{space 15}member_years {c |}{col 29}{res}{space 2}        0{col 41}{txt}  (omitted)
{space 6}d_experience_campaign {c |}{col 29}{res}{space 2}-.2015255{col 41}{space 2} .1377939{col 52}{space 1}   -1.46{col 61}{space 3}0.144{col 69}{space 4}-.4719469{col 82}{space 3}  .068896
{txt}{space 16}z_votes_own {c |}{col 29}{res}{space 2} .0700201{col 41}{space 2} .0407898{col 52}{space 1}    1.72{col 61}{space 3}0.086{col 69}{space 4}-.0100302{col 82}{space 3} .1500703
{txt}{space 12}z_votes_other_1 {c |}{col 29}{res}{space 2} .0570974{col 41}{space 2} .0271715{col 52}{space 1}    2.10{col 61}{space 3}0.036{col 69}{space 4} .0037733{col 82}{space 3} .1104216
{txt}{space 12}z_votes_other_2 {c |}{col 29}{res}{space 2}-.0644692{col 41}{space 2} .0288774{col 52}{space 1}   -2.23{col 61}{space 3}0.026{col 69}{space 4}-.1211412{col 82}{space 3}-.0077971
{txt}{space 13}pre_doortodoor {c |}{col 29}{res}{space 2} .0253028{col 41}{space 2} .0701989{col 52}{space 1}    0.36{col 61}{space 3}0.719{col 69}{space 4}-.1124631{col 82}{space 3} .1630686
{txt}{space 8}pre_days_doortodoor {c |}{col 29}{res}{space 2}-.0015114{col 41}{space 2} .0009503{col 52}{space 1}   -1.59{col 61}{space 3}0.112{col 69}{space 4}-.0033763{col 82}{space 3} .0003536
{txt}{space 16}pre_posters {c |}{col 29}{res}{space 2} .1296294{col 41}{space 2} .0736445{col 52}{space 1}    1.76{col 61}{space 3}0.079{col 69}{space 4}-.0148985{col 82}{space 3} .2741574
{txt}{space 18}pre_booth {c |}{col 29}{res}{space 2} .0676149{col 41}{space 2} .1070782{col 52}{space 1}    0.63{col 61}{space 3}0.528{col 69}{space 4}-.1425269{col 82}{space 3} .2777567
{txt}{space 17}pre_online {c |}{col 29}{res}{space 2} .0260604{col 41}{space 2} .0638243{col 52}{space 1}    0.41{col 61}{space 3}0.683{col 69}{space 4}-.0991953{col 82}{space 3} .1513162
{txt}{space 19}pre_call {c |}{col 29}{res}{space 2} .0707476{col 41}{space 2} .0704609{col 52}{space 1}    1.00{col 61}{space 3}0.316{col 69}{space 4}-.0675323{col 82}{space 3} .2090276
{txt}{space 16}pre_friends {c |}{col 29}{res}{space 2} .0341888{col 41}{space 2} .0843817{col 52}{space 1}    0.41{col 61}{space 3}0.685{col 69}{space 4} -.131411{col 82}{space 3} .1997885
{txt}{space 17}pre_others {c |}{col 29}{res}{space 2} .0618456{col 41}{space 2} .0795788{col 52}{space 1}    0.78{col 61}{space 3}0.437{col 69}{space 4}-.0943283{col 82}{space 3} .2180195
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .2226211{col 41}{space 2} .1008082{col 52}{space 1}    2.21{col 61}{space 3}0.027{col 69}{space 4} .0247842{col 82}{space 3}  .420458
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_engag~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1082281{col 26}{space 2} .0726544{col 37}{space 1}    1.49{col 46}{space 3}0.137{col 54}{space 4}-.0343566{col 67}{space 3} .2508128
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_engag~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1008424{col 26}{space 2}   .07909{col 37}{space 1}    1.28{col 46}{space 3}0.203{col 54}{space 4}-.0543722{col 67}{space 3} .2560571
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_engag~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0242018{col 26}{space 2} .0728927{col 37}{space 1}    0.33{col 46}{space 3}0.740{col 54}{space 4}-.1188507{col 67}{space 3} .1672543
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_engag~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0646621{col 26}{space 2} .0769433{col 37}{space 1}    0.84{col 46}{space 3}0.401{col 54}{space 4}-.0863397{col 67}{space 3}  .215664
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(4, 950)         =  {res}     1.04
                                                {txt}Prob > F          = {res}    0.3865
                                                {txt}R-squared         = {res}    0.0045
                                                {txt}Root MSE          =    {res} 1.0147

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                 z_fs_voice{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2} .1440693{col 41}{space 2}  .097736{col 52}{space 1}    1.47{col 61}{space 3}0.141{col 69}{space 4}-.0477341{col 82}{space 3} .3358727
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2}-.0374634{col 41}{space 2}  .097978{col 52}{space 1}   -0.38{col 61}{space 3}0.702{col 69}{space 4}-.2297417{col 82}{space 3} .1548149
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2}  .050746{col 41}{space 2} .0952137{col 52}{space 1}    0.53{col 61}{space 3}0.594{col 69}{space 4}-.1361075{col 82}{space 3} .2375995
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} .1289176{col 41}{space 2} .1031856{col 52}{space 1}    1.25{col 61}{space 3}0.212{col 69}{space 4}-.0735804{col 82}{space 3} .3314156
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-7.68e-09{col 41}{space 2} .0554452{col 52}{space 1}   -0.00{col 61}{space 3}1.000{col 69}{space 4}-.1088092{col 82}{space 3} .1088092
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_fs_voice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1440693{col 26}{space 2}  .097736{col 37}{space 1}    1.47{col 46}{space 3}0.141{col 54}{space 4}-.0477341{col 67}{space 3} .3358727
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_fs_voice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1289176{col 26}{space 2} .1031856{col 37}{space 1}    1.25{col 46}{space 3}0.212{col 54}{space 4}-.0735804{col 67}{space 3} .3314156
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_fs_voice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0374634{col 26}{space 2}  .097978{col 37}{space 1}   -0.38{col 46}{space 3}0.702{col 54}{space 4}-.2297417{col 67}{space 3} .1548149
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_fs_voice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .050746{col 26}{space 2} .0952137{col 37}{space 1}    0.53{col 46}{space 3}0.594{col 54}{space 4}-.1361075{col 67}{space 3} .2375995
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(20, 934)        =  {res}    35.56
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4148
                                                {txt}Root MSE          =    {res}  .7846

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                 z_fs_voice{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2}  .056179{col 41}{space 2} .0776694{col 52}{space 1}    0.72{col 61}{space 3}0.470{col 69}{space 4}-.0962477{col 82}{space 3} .2086058
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2}-.0535569{col 41}{space 2} .0797304{col 52}{space 1}   -0.67{col 61}{space 3}0.502{col 69}{space 4}-.2100284{col 82}{space 3} .1029147
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} -.026934{col 41}{space 2} .0757097{col 52}{space 1}   -0.36{col 61}{space 3}0.722{col 69}{space 4}-.1755149{col 82}{space 3} .1216469
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} .1186741{col 41}{space 2}  .078571{col 52}{space 1}    1.51{col 61}{space 3}0.131{col 69}{space 4}-.0355221{col 82}{space 3} .2728703
{txt}{space 14}z_voice_prior {c |}{col 29}{res}{space 2} .5881072{col 41}{space 2} .0265239{col 52}{space 1}   22.17{col 61}{space 3}0.000{col 69}{space 4} .5360539{col 82}{space 3} .6401606
{txt}{space 21}female {c |}{col 29}{res}{space 2}  .035824{col 41}{space 2}  .064874{col 52}{space 1}    0.55{col 61}{space 3}0.581{col 69}{space 4}-.0914918{col 82}{space 3} .1631398
{txt}{space 24}age {c |}{col 29}{res}{space 2}-.0038708{col 41}{space 2} .0020311{col 52}{space 1}   -1.91{col 61}{space 3}0.057{col 69}{space 4} -.007857{col 82}{space 3} .0001153
{txt}{space 15}member_years {c |}{col 29}{res}{space 2}-.0015168{col 41}{space 2}  .002328{col 52}{space 1}   -0.65{col 61}{space 3}0.515{col 69}{space 4}-.0060856{col 82}{space 3}  .003052
{txt}{space 15}member_years {c |}{col 29}{res}{space 2}        0{col 41}{txt}  (omitted)
{space 6}d_experience_campaign {c |}{col 29}{res}{space 2}-.1538276{col 41}{space 2} .1241367{col 52}{space 1}   -1.24{col 61}{space 3}0.216{col 69}{space 4}-.3974467{col 82}{space 3} .0897916
{txt}{space 16}z_votes_own {c |}{col 29}{res}{space 2} .0822615{col 41}{space 2} .0377684{col 52}{space 1}    2.18{col 61}{space 3}0.030{col 69}{space 4} .0081407{col 82}{space 3} .1563822
{txt}{space 12}z_votes_other_1 {c |}{col 29}{res}{space 2} .0650342{col 41}{space 2} .0282816{col 52}{space 1}    2.30{col 61}{space 3}0.022{col 69}{space 4} .0095314{col 82}{space 3}  .120537
{txt}{space 12}z_votes_other_2 {c |}{col 29}{res}{space 2}-.0854793{col 41}{space 2} .0276023{col 52}{space 1}   -3.10{col 61}{space 3}0.002{col 69}{space 4}-.1396491{col 82}{space 3}-.0313095
{txt}{space 13}pre_doortodoor {c |}{col 29}{res}{space 2}-.0751306{col 41}{space 2} .0723896{col 52}{space 1}   -1.04{col 61}{space 3}0.300{col 69}{space 4}-.2171957{col 82}{space 3} .0669346
{txt}{space 8}pre_days_doortodoor {c |}{col 29}{res}{space 2}-.0016042{col 41}{space 2} .0007901{col 52}{space 1}   -2.03{col 61}{space 3}0.043{col 69}{space 4}-.0031548{col 82}{space 3}-.0000535
{txt}{space 16}pre_posters {c |}{col 29}{res}{space 2} .0039831{col 41}{space 2} .0772484{col 52}{space 1}    0.05{col 61}{space 3}0.959{col 69}{space 4}-.1476175{col 82}{space 3} .1555837
{txt}{space 18}pre_booth {c |}{col 29}{res}{space 2} .0840103{col 41}{space 2} .1069473{col 52}{space 1}    0.79{col 61}{space 3}0.432{col 69}{space 4}-.1258746{col 82}{space 3} .2938952
{txt}{space 17}pre_online {c |}{col 29}{res}{space 2} .0079478{col 41}{space 2}  .070627{col 52}{space 1}    0.11{col 61}{space 3}0.910{col 69}{space 4}-.1306583{col 82}{space 3} .1465538
{txt}{space 19}pre_call {c |}{col 29}{res}{space 2} .0432914{col 41}{space 2} .0758089{col 52}{space 1}    0.57{col 61}{space 3}0.568{col 69}{space 4}-.1054841{col 82}{space 3} .1920669
{txt}{space 16}pre_friends {c |}{col 29}{res}{space 2}-.0277568{col 41}{space 2} .0838097{col 52}{space 1}   -0.33{col 61}{space 3}0.741{col 69}{space 4} -.192234{col 82}{space 3} .1367204
{txt}{space 17}pre_others {c |}{col 29}{res}{space 2}-.0093083{col 41}{space 2} .0701477{col 52}{space 1}   -0.13{col 61}{space 3}0.894{col 69}{space 4}-.1469738{col 82}{space 3} .1283571
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .3227035{col 41}{space 2} .1046613{col 52}{space 1}    3.08{col 61}{space 3}0.002{col 69}{space 4} .1173049{col 82}{space 3} .5281022
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_fs_voice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .056179{col 26}{space 2} .0776694{col 37}{space 1}    0.72{col 46}{space 3}0.470{col 54}{space 4}-.0962477{col 67}{space 3} .2086058
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_fs_voice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1186741{col 26}{space 2}  .078571{col 37}{space 1}    1.51{col 46}{space 3}0.131{col 54}{space 4}-.0355221{col 67}{space 3} .2728703
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_fs_voice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0535569{col 26}{space 2} .0797304{col 37}{space 1}   -0.67{col 46}{space 3}0.502{col 54}{space 4}-.2100284{col 67}{space 3} .1029147
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_fs_voice{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} -.026934{col 26}{space 2} .0757097{col 37}{space 1}   -0.36{col 46}{space 3}0.722{col 54}{space 4}-.1755149{col 67}{space 3} .1216469
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(4, 950)         =  {res}     0.91
                                                {txt}Prob > F          = {res}    0.4598
                                                {txt}R-squared         = {res}    0.0037
                                                {txt}Root MSE          =    {res} .94601

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}             z_fs_connected{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2} .1091995{col 41}{space 2} .0885469{col 52}{space 1}    1.23{col 61}{space 3}0.218{col 69}{space 4}-.0645706{col 82}{space 3} .2829695
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2} .0837183{col 41}{space 2} .0957832{col 52}{space 1}    0.87{col 61}{space 3}0.382{col 69}{space 4}-.1042528{col 82}{space 3} .2716894
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} .0820637{col 41}{space 2}  .093481{col 52}{space 1}    0.88{col 61}{space 3}0.380{col 69}{space 4}-.1013893{col 82}{space 3} .2655167
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} .1607451{col 41}{space 2} .0886373{col 52}{space 1}    1.81{col 61}{space 3}0.070{col 69}{space 4}-.0132024{col 82}{space 3} .3346926
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-4.11e-09{col 41}{space 2} .0554452{col 52}{space 1}   -0.00{col 61}{space 3}1.000{col 69}{space 4}-.1088092{col 82}{space 3} .1088092
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_conne~d{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1091995{col 26}{space 2} .0885469{col 37}{space 1}    1.23{col 46}{space 3}0.218{col 54}{space 4}-.0645706{col 67}{space 3} .2829695
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_conne~d{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1607451{col 26}{space 2} .0886373{col 37}{space 1}    1.81{col 46}{space 3}0.070{col 54}{space 4}-.0132024{col 67}{space 3} .3346926
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_conne~d{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0837183{col 26}{space 2} .0957832{col 37}{space 1}    0.87{col 46}{space 3}0.382{col 54}{space 4}-.1042528{col 67}{space 3} .2716894
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_conne~d{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0820637{col 26}{space 2}  .093481{col 37}{space 1}    0.88{col 46}{space 3}0.380{col 54}{space 4}-.1013893{col 67}{space 3} .2655167
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(20, 934)        =  {res}     8.04
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1751
                                                {txt}Root MSE          =    {res}  .8681

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}             z_fs_connected{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2} .0640933{col 41}{space 2} .0816934{col 52}{space 1}    0.78{col 61}{space 3}0.433{col 69}{space 4}-.0962305{col 82}{space 3} .2244172
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2} .0725291{col 41}{space 2} .0880084{col 52}{space 1}    0.82{col 61}{space 3}0.410{col 69}{space 4} -.100188{col 82}{space 3} .2452462
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} .0450959{col 41}{space 2} .0861581{col 52}{space 1}    0.52{col 61}{space 3}0.601{col 69}{space 4}  -.12399{col 82}{space 3} .2141817
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2}  .114677{col 41}{space 2} .0832732{col 52}{space 1}    1.38{col 61}{space 3}0.169{col 69}{space 4}-.0487473{col 82}{space 3} .2781012
{txt}{space 14}z_voice_prior {c |}{col 29}{res}{space 2}  .283541{col 41}{space 2} .0309437{col 52}{space 1}    9.16{col 61}{space 3}0.000{col 69}{space 4} .2228139{col 82}{space 3} .3442682
{txt}{space 21}female {c |}{col 29}{res}{space 2}-.1009134{col 41}{space 2} .0699227{col 52}{space 1}   -1.44{col 61}{space 3}0.149{col 69}{space 4}-.2381371{col 82}{space 3} .0363103
{txt}{space 24}age {c |}{col 29}{res}{space 2} .0003121{col 41}{space 2}  .002252{col 52}{space 1}    0.14{col 61}{space 3}0.890{col 69}{space 4}-.0041075{col 82}{space 3} .0047316
{txt}{space 15}member_years {c |}{col 29}{res}{space 2} .0056545{col 41}{space 2} .0026827{col 52}{space 1}    2.11{col 61}{space 3}0.035{col 69}{space 4} .0003897{col 82}{space 3} .0109193
{txt}{space 15}member_years {c |}{col 29}{res}{space 2}        0{col 41}{txt}  (omitted)
{space 6}d_experience_campaign {c |}{col 29}{res}{space 2}-.2358784{col 41}{space 2} .1535921{col 52}{space 1}   -1.54{col 61}{space 3}0.125{col 69}{space 4} -.537304{col 82}{space 3} .0655473
{txt}{space 16}z_votes_own {c |}{col 29}{res}{space 2} .0857173{col 41}{space 2} .0448658{col 52}{space 1}    1.91{col 61}{space 3}0.056{col 69}{space 4}-.0023322{col 82}{space 3} .1737667
{txt}{space 12}z_votes_other_1 {c |}{col 29}{res}{space 2}-.0621094{col 41}{space 2} .0389381{col 52}{space 1}   -1.60{col 61}{space 3}0.111{col 69}{space 4}-.1385257{col 82}{space 3} .0143069
{txt}{space 12}z_votes_other_2 {c |}{col 29}{res}{space 2}-.0529636{col 41}{space 2} .0338627{col 52}{space 1}   -1.56{col 61}{space 3}0.118{col 69}{space 4}-.1194193{col 82}{space 3} .0134922
{txt}{space 13}pre_doortodoor {c |}{col 29}{res}{space 2} .1150786{col 41}{space 2}  .080818{col 52}{space 1}    1.42{col 61}{space 3}0.155{col 69}{space 4}-.0435272{col 82}{space 3} .2736844
{txt}{space 8}pre_days_doortodoor {c |}{col 29}{res}{space 2}-.0003603{col 41}{space 2} .0010035{col 52}{space 1}   -0.36{col 61}{space 3}0.720{col 69}{space 4}-.0023297{col 82}{space 3} .0016091
{txt}{space 16}pre_posters {c |}{col 29}{res}{space 2}-.0049137{col 41}{space 2} .0906187{col 52}{space 1}   -0.05{col 61}{space 3}0.957{col 69}{space 4}-.1827534{col 82}{space 3} .1729261
{txt}{space 18}pre_booth {c |}{col 29}{res}{space 2}-.1217012{col 41}{space 2} .1231146{col 52}{space 1}   -0.99{col 61}{space 3}0.323{col 69}{space 4}-.3633144{col 82}{space 3}  .119912
{txt}{space 17}pre_online {c |}{col 29}{res}{space 2} .0858658{col 41}{space 2} .0682006{col 52}{space 1}    1.26{col 61}{space 3}0.208{col 69}{space 4}-.0479784{col 82}{space 3} .2197099
{txt}{space 19}pre_call {c |}{col 29}{res}{space 2} .0534074{col 41}{space 2} .0791931{col 52}{space 1}    0.67{col 61}{space 3}0.500{col 69}{space 4}-.1020097{col 82}{space 3} .2088245
{txt}{space 16}pre_friends {c |}{col 29}{res}{space 2} .2157162{col 41}{space 2} .1069388{col 52}{space 1}    2.02{col 61}{space 3}0.044{col 69}{space 4} .0058479{col 82}{space 3} .4255844
{txt}{space 17}pre_others {c |}{col 29}{res}{space 2} .0628269{col 41}{space 2} .0843641{col 52}{space 1}    0.74{col 61}{space 3}0.457{col 69}{space 4}-.1027383{col 82}{space 3} .2283921
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-.0576842{col 41}{space 2} .1101991{col 52}{space 1}   -0.52{col 61}{space 3}0.601{col 69}{space 4}-.2739508{col 82}{space 3} .1585824
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_conne~d{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0640933{col 26}{space 2} .0816934{col 37}{space 1}    0.78{col 46}{space 3}0.433{col 54}{space 4}-.0962305{col 67}{space 3} .2244172
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_conne~d{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .114677{col 26}{space 2} .0832732{col 37}{space 1}    1.38{col 46}{space 3}0.169{col 54}{space 4}-.0487473{col 67}{space 3} .2781012
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_conne~d{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0725291{col 26}{space 2} .0880084{col 37}{space 1}    0.82{col 46}{space 3}0.410{col 54}{space 4} -.100188{col 67}{space 3} .2452462
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_conne~d{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0450959{col 26}{space 2} .0861581{col 37}{space 1}    0.52{col 46}{space 3}0.601{col 54}{space 4}  -.12399{col 67}{space 3} .2141817
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(4, 950)         =  {res}     1.37
                                                {txt}Prob > F          = {res}    0.2407
                                                {txt}R-squared         = {res}    0.0059
                                                {txt}Root MSE          =    {res} 1.0189

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}              z_fs_interest{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2} .1381778{col 41}{space 2}  .096179{col 52}{space 1}    1.44{col 61}{space 3}0.151{col 69}{space 4}-.0505701{col 82}{space 3} .3269257
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2} -.091169{col 41}{space 2} .1013389{col 52}{space 1}   -0.90{col 61}{space 3}0.369{col 69}{space 4} -.290043{col 82}{space 3} .1077051
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2} .1045525{col 41}{space 2} .0931563{col 52}{space 1}    1.12{col 61}{space 3}0.262{col 69}{space 4}-.0782634{col 82}{space 3} .2873684
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} .0878434{col 41}{space 2} .1049431{col 52}{space 1}    0.84{col 61}{space 3}0.403{col 69}{space 4}-.1181037{col 82}{space 3} .2937905
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-2.89e-09{col 41}{space 2} .0554452{col 52}{space 1}   -0.00{col 61}{space 3}1.000{col 69}{space 4}-.1088092{col 82}{space 3} .1088092
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_inter~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1381778{col 26}{space 2}  .096179{col 37}{space 1}    1.44{col 46}{space 3}0.151{col 54}{space 4}-.0505701{col 67}{space 3} .3269257
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_inter~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0878434{col 26}{space 2} .1049431{col 37}{space 1}    0.84{col 46}{space 3}0.403{col 54}{space 4}-.1181037{col 67}{space 3} .2937905
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_inter~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} -.091169{col 26}{space 2} .1013389{col 37}{space 1}   -0.90{col 46}{space 3}0.369{col 54}{space 4} -.290043{col 67}{space 3} .1077051
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_inter~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1045525{col 26}{space 2} .0931563{col 37}{space 1}    1.12{col 46}{space 3}0.262{col 54}{space 4}-.0782634{col 67}{space 3} .2873684
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(20, 934)        =  {res}    48.69
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4966
                                                {txt}Root MSE          =    {res} .73131

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}              z_fs_interest{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}voice_instrumental {c |}{col 29}{res}{space 2} .0488967{col 41}{space 2} .0725672{col 52}{space 1}    0.67{col 61}{space 3}0.501{col 69}{space 4} -.093517{col 82}{space 3} .1913104
{txt}{space 12}voice_intrinsic {c |}{col 29}{res}{space 2}-.1030161{col 41}{space 2} .0713424{col 52}{space 1}   -1.44{col 61}{space 3}0.149{col 69}{space 4}-.2430261{col 82}{space 3}  .036994
{txt}{space 3}voice_feedback_intrinsic {c |}{col 29}{res}{space 2}   .05012{col 41}{space 2} .0667693{col 52}{space 1}    0.75{col 61}{space 3}0.453{col 69}{space 4}-.0809152{col 82}{space 3} .1811553
{txt}voice_feedback_instrumental {c |}{col 29}{res}{space 2} .0993041{col 41}{space 2} .0768314{col 52}{space 1}    1.29{col 61}{space 3}0.197{col 69}{space 4}-.0514781{col 82}{space 3} .2500863
{txt}{space 14}z_voice_prior {c |}{col 29}{res}{space 2} .6478759{col 41}{space 2} .0271295{col 52}{space 1}   23.88{col 61}{space 3}0.000{col 69}{space 4}  .594634{col 82}{space 3} .7011177
{txt}{space 21}female {c |}{col 29}{res}{space 2}-.0895133{col 41}{space 2} .0585522{col 52}{space 1}   -1.53{col 61}{space 3}0.127{col 69}{space 4}-.2044225{col 82}{space 3} .0253958
{txt}{space 24}age {c |}{col 29}{res}{space 2}  .001879{col 41}{space 2} .0018778{col 52}{space 1}    1.00{col 61}{space 3}0.317{col 69}{space 4}-.0018062{col 82}{space 3} .0055642
{txt}{space 15}member_years {c |}{col 29}{res}{space 2} -.003647{col 41}{space 2} .0021483{col 52}{space 1}   -1.70{col 61}{space 3}0.090{col 69}{space 4}-.0078631{col 82}{space 3} .0005691
{txt}{space 15}member_years {c |}{col 29}{res}{space 2}        0{col 41}{txt}  (omitted)
{space 6}d_experience_campaign {c |}{col 29}{res}{space 2}-.1076087{col 41}{space 2} .1305841{col 52}{space 1}   -0.82{col 61}{space 3}0.410{col 69}{space 4} -.363881{col 82}{space 3} .1486636
{txt}{space 16}z_votes_own {c |}{col 29}{res}{space 2} .1125642{col 41}{space 2} .0415019{col 52}{space 1}    2.71{col 61}{space 3}0.007{col 69}{space 4} .0311165{col 82}{space 3}  .194012
{txt}{space 12}z_votes_other_1 {c |}{col 29}{res}{space 2} .0514067{col 41}{space 2} .0271422{col 52}{space 1}    1.89{col 61}{space 3}0.059{col 69}{space 4}-.0018601{col 82}{space 3} .1046734
{txt}{space 12}z_votes_other_2 {c |}{col 29}{res}{space 2}-.0438109{col 41}{space 2} .0267406{col 52}{space 1}   -1.64{col 61}{space 3}0.102{col 69}{space 4}-.0962894{col 82}{space 3} .0086676
{txt}{space 13}pre_doortodoor {c |}{col 29}{res}{space 2}-.1271385{col 41}{space 2} .0664681{col 52}{space 1}   -1.91{col 61}{space 3}0.056{col 69}{space 4}-.2575826{col 82}{space 3} .0033057
{txt}{space 8}pre_days_doortodoor {c |}{col 29}{res}{space 2}-.0014078{col 41}{space 2} .0008438{col 52}{space 1}   -1.67{col 61}{space 3}0.096{col 69}{space 4}-.0030638{col 82}{space 3} .0002482
{txt}{space 16}pre_posters {c |}{col 29}{res}{space 2}-.0517799{col 41}{space 2} .0689519{col 52}{space 1}   -0.75{col 61}{space 3}0.453{col 69}{space 4}-.1870984{col 82}{space 3} .0835386
{txt}{space 18}pre_booth {c |}{col 29}{res}{space 2}-.0157768{col 41}{space 2} .1008508{col 52}{space 1}   -0.16{col 61}{space 3}0.876{col 69}{space 4}-.2136972{col 82}{space 3} .1821435
{txt}{space 17}pre_online {c |}{col 29}{res}{space 2}-.0040039{col 41}{space 2} .0591792{col 52}{space 1}   -0.07{col 61}{space 3}0.946{col 69}{space 4}-.1201436{col 82}{space 3} .1121357
{txt}{space 19}pre_call {c |}{col 29}{res}{space 2} .0576345{col 41}{space 2} .0677331{col 52}{space 1}    0.85{col 61}{space 3}0.395{col 69}{space 4}-.0752922{col 82}{space 3} .1905612
{txt}{space 16}pre_friends {c |}{col 29}{res}{space 2} .0038874{col 41}{space 2} .0853738{col 52}{space 1}    0.05{col 61}{space 3}0.964{col 69}{space 4}-.1636592{col 82}{space 3} .1714341
{txt}{space 17}pre_others {c |}{col 29}{res}{space 2}-.0462768{col 41}{space 2} .0674518{col 52}{space 1}   -0.69{col 61}{space 3}0.493{col 69}{space 4}-.1786514{col 82}{space 3} .0860978
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .1791316{col 41}{space 2} .0977646{col 52}{space 1}    1.83{col 61}{space 3}0.067{col 69}{space 4}-.0127322{col 82}{space 3} .3709955
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_inter~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0488967{col 26}{space 2} .0725672{col 37}{space 1}    0.67{col 46}{space 3}0.501{col 54}{space 4} -.093517{col 67}{space 3} .1913104
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_instrumental = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_inter~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0993041{col 26}{space 2} .0768314{col 37}{space 1}    1.29{col 46}{space 3}0.197{col 54}{space 4}-.0514781{col 67}{space 3} .2500863
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_inter~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.1030161{col 26}{space 2} .0713424{col 37}{space 1}   -1.44{col 46}{space 3}0.149{col 54}{space 4}-.2430261{col 67}{space 3}  .036994
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}voice_feedback_intrinsic = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}z_fs_inter~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}   .05012{col 26}{space 2} .0667693{col 37}{space 1}    0.75{col 46}{space 3}0.453{col 54}{space 4}-.0809152{col 67}{space 3} .1811553
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
. 
.          
. 
. loc rowlabels " " " "  " "Treatment: instrumental" " " " "  "Treatment: instrumental + feedback" " " " " "Treatment: intrinsic" " " " "  "Treatment: intrinsic + feedback" " " " "  "Control mean" "Number of Observations" "Controls" "
{txt}
{com}. 
. loc rowstats ""
{txt}
{com}. 
. forval i = 1/17 {c -(}
{txt}  2{com}.     loc rowstats "`rowstats' thisstat`i'"
{txt}  3{com}. {c )-}
{txt}
{com}. 
. 
. 
. 
. esttab col* using "$output/treat_fs_detail.tex", replace cells(none) booktabs nonotes nomtitle compress alignment(c) nogap noobs nobaselevels label stats(`rowstats', labels(`rowlabels')) ///
>  mgroups("Voice index"  "Diff through engagement"  "Being heard" "Feels connection" "Party interested" ,  pattern(1 0 1 0 1 0 1 0  1 0 ) prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-}) span erepeat(\cmidrule(lr){c -(}@span{c )-}))
{res}{txt}(output written to {browse  `"/Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/output/treat_fs_detail.tex"'})

{com}. 
. 
. 
{txt}end of do-file

{com}. do "$scripts/tables/Table_A17_treat_length_2panel.do"
{txt}
{com}. 
. 
. use "$data/clean/clean_main_complete.dta" , replace
{txt}
{com}. 
. 
. 
.                    
. loc experiments " comment_any comment_nonsense  comment_constructive comment_length_wins"
{txt}
{com}. 
.                    
.                    
. preserve
{txt}
{com}. 
. clear all
{res}{txt}
{com}. eststo clear
{txt}
{com}. estimates drop _all
{txt}
{com}. 
. set obs 10
{txt}{p}
number of observations (_N)  was 0,
now 10
{p_end}

{com}. qui gen x = 1
{txt}
{com}. qui gen y = 1
{txt}
{com}. 
. loc columns = 0
{txt}
{com}. 
. foreach choice in `experiments'   {c -(}
{txt}  2{com}. 
.     loc ++columns
{txt}  3{com}.     qui eststo col`columns': reg x y
{txt}  4{com}. 
. {c )-}
{txt}
{com}. 
. restore
{txt}
{com}. 
. 
. /* Statistics */
. 
. loc colnum = 1
{txt}
{com}. loc colnames ""
{txt}
{com}. 
. 
. foreach choice in `experiments' {c -(}
{txt}  2{com}. 
. /* Statistics */
. 
. 
. 
.  
.  
. ********************************Panel A*****************************************
. 
.         
.         
.  xi: reg `choice' voice_instrumental_pooled  $control  , vce(r) // 
{txt}  3{com}.    
.    
.    
.     sigstar voice_instrumental_pooled , prec(3)
{txt}  4{com}.     estadd loc thisstat3 = "`r(bstar)'": col`colnum'
{txt}  5{com}.     estadd loc thisstat4 = "`r(sestar)'": col`colnum'
{txt}  6{com}.    
. 
.                  
.         qui sum `choice' if voice_instrumental_pooled==0
{txt}  7{com}.         estadd loc thisstat6 = string(`r(mean)', "%9.2f"): col`colnum'
{txt}  8{com}.         
.             loc ++colnum
{txt}  9{com}. {c )-}
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       672
                                                {txt}F(17, 654)        =  {res}     9.81
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1502
                                                {txt}Root MSE          =    {res} .46701

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}              comment_any{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} .0052474{col 39}{space 2} .0367623{col 50}{space 1}    0.14{col 59}{space 3}0.887{col 67}{space 4}-.0669389{col 80}{space 3} .0774337
{txt}{space 12}z_voice_prior {c |}{col 27}{res}{space 2} -.070436{col 39}{space 2} .0177095{col 50}{space 1}   -3.98{col 59}{space 3}0.000{col 67}{space 4}-.1052103{col 80}{space 3}-.0356617
{txt}{space 19}female {c |}{col 27}{res}{space 2}-.0802481{col 39}{space 2} .0480901{col 50}{space 1}   -1.67{col 59}{space 3}0.096{col 67}{space 4}-.1746778{col 80}{space 3} .0141815
{txt}{space 22}age {c |}{col 27}{res}{space 2} .0084008{col 39}{space 2} .0013359{col 50}{space 1}    6.29{col 59}{space 3}0.000{col 67}{space 4} .0057777{col 80}{space 3} .0110239
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}-.0026262{col 39}{space 2} .0016729{col 50}{space 1}   -1.57{col 59}{space 3}0.117{col 67}{space 4}-.0059111{col 80}{space 3} .0006587
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 4}d_experience_campaign {c |}{col 27}{res}{space 2} .0392523{col 39}{space 2}  .090546{col 50}{space 1}    0.43{col 59}{space 3}0.665{col 67}{space 4}-.1385437{col 80}{space 3} .2170482
{txt}{space 14}z_votes_own {c |}{col 27}{res}{space 2} -.029925{col 39}{space 2} .0226432{col 50}{space 1}   -1.32{col 59}{space 3}0.187{col 67}{space 4}-.0743871{col 80}{space 3} .0145371
{txt}{space 10}z_votes_other_1 {c |}{col 27}{res}{space 2}-.0377167{col 39}{space 2} .0220017{col 50}{space 1}   -1.71{col 59}{space 3}0.087{col 67}{space 4}-.0809193{col 80}{space 3} .0054858
{txt}{space 10}z_votes_other_2 {c |}{col 27}{res}{space 2} .0282438{col 39}{space 2} .0214146{col 50}{space 1}    1.32{col 59}{space 3}0.188{col 67}{space 4}-.0138059{col 80}{space 3} .0702934
{txt}{space 11}pre_doortodoor {c |}{col 27}{res}{space 2} .0807978{col 39}{space 2} .0495854{col 50}{space 1}    1.63{col 59}{space 3}0.104{col 67}{space 4} -.016568{col 80}{space 3} .1781635
{txt}{space 6}pre_days_doortodoor {c |}{col 27}{res}{space 2}-.0007668{col 39}{space 2} .0006201{col 50}{space 1}   -1.24{col 59}{space 3}0.217{col 67}{space 4}-.0019845{col 80}{space 3} .0004508
{txt}{space 14}pre_posters {c |}{col 27}{res}{space 2}-.0699594{col 39}{space 2} .0543041{col 50}{space 1}   -1.29{col 59}{space 3}0.198{col 67}{space 4}-.1765909{col 80}{space 3}  .036672
{txt}{space 16}pre_booth {c |}{col 27}{res}{space 2}-.0736402{col 39}{space 2} .0667853{col 50}{space 1}   -1.10{col 59}{space 3}0.271{col 67}{space 4}-.2047798{col 80}{space 3} .0574993
{txt}{space 15}pre_online {c |}{col 27}{res}{space 2}-.1150451{col 39}{space 2} .0471074{col 50}{space 1}   -2.44{col 59}{space 3}0.015{col 67}{space 4}-.2075451{col 80}{space 3}-.0225451
{txt}{space 17}pre_call {c |}{col 27}{res}{space 2} .0535345{col 39}{space 2} .0517796{col 50}{space 1}    1.03{col 59}{space 3}0.302{col 67}{space 4}-.0481399{col 80}{space 3} .1552089
{txt}{space 14}pre_friends {c |}{col 27}{res}{space 2} .1089199{col 39}{space 2} .0585485{col 50}{space 1}    1.86{col 59}{space 3}0.063{col 67}{space 4}-.0060459{col 80}{space 3} .2238857
{txt}{space 15}pre_others {c |}{col 27}{res}{space 2} .2021023{col 39}{space 2} .0523823{col 50}{space 1}    3.86{col 59}{space 3}0.000{col 67}{space 4} .0992445{col 80}{space 3} .3049601
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .1552509{col 39}{space 2} .0664308{col 50}{space 1}    2.34{col 59}{space 3}0.020{col 67}{space 4} .0248075{col 80}{space 3} .2856942
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} comment_any{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0052474{col 26}{space 2} .0367623{col 37}{space 1}    0.14{col 46}{space 3}0.887{col 54}{space 4}-.0669389{col 67}{space 3} .0774337
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       672
                                                {txt}F(17, 654)        =  {res}     0.73
                                                {txt}Prob > F          = {res}    0.7731
                                                {txt}R-squared         = {res}    0.0756
                                                {txt}Root MSE          =    {res} .12367

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}         comment_nonsense{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2}-.0203088{col 39}{space 2} .0095691{col 50}{space 1}   -2.12{col 59}{space 3}0.034{col 67}{space 4}-.0390987{col 80}{space 3}-.0015189
{txt}{space 12}z_voice_prior {c |}{col 27}{res}{space 2} .0045739{col 39}{space 2} .0051032{col 50}{space 1}    0.90{col 59}{space 3}0.370{col 67}{space 4}-.0054466{col 80}{space 3} .0145945
{txt}{space 19}female {c |}{col 27}{res}{space 2}-.0034333{col 39}{space 2} .0126459{col 50}{space 1}   -0.27{col 59}{space 3}0.786{col 67}{space 4}-.0282648{col 80}{space 3} .0213982
{txt}{space 22}age {c |}{col 27}{res}{space 2} .0007774{col 39}{space 2} .0005331{col 50}{space 1}    1.46{col 59}{space 3}0.145{col 67}{space 4}-.0002694{col 80}{space 3} .0018242
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}-.0005874{col 39}{space 2} .0004458{col 50}{space 1}   -1.32{col 59}{space 3}0.188{col 67}{space 4}-.0014628{col 80}{space 3}  .000288
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 4}d_experience_campaign {c |}{col 27}{res}{space 2}-.0122204{col 39}{space 2} .0313066{col 50}{space 1}   -0.39{col 59}{space 3}0.696{col 67}{space 4} -.073694{col 80}{space 3} .0492532
{txt}{space 14}z_votes_own {c |}{col 27}{res}{space 2}-.0155823{col 39}{space 2} .0104846{col 50}{space 1}   -1.49{col 59}{space 3}0.138{col 67}{space 4}-.0361698{col 80}{space 3} .0050053
{txt}{space 10}z_votes_other_1 {c |}{col 27}{res}{space 2} .0151957{col 39}{space 2} .0115387{col 50}{space 1}    1.32{col 59}{space 3}0.188{col 67}{space 4}-.0074616{col 80}{space 3} .0378531
{txt}{space 10}z_votes_other_2 {c |}{col 27}{res}{space 2} .0125566{col 39}{space 2}  .006957{col 50}{space 1}    1.80{col 59}{space 3}0.072{col 67}{space 4}-.0011042{col 80}{space 3} .0262174
{txt}{space 11}pre_doortodoor {c |}{col 27}{res}{space 2}-.0122396{col 39}{space 2} .0119028{col 50}{space 1}   -1.03{col 59}{space 3}0.304{col 67}{space 4} -.035612{col 80}{space 3} .0111327
{txt}{space 6}pre_days_doortodoor {c |}{col 27}{res}{space 2} 7.57e-06{col 39}{space 2} .0001402{col 50}{space 1}    0.05{col 59}{space 3}0.957{col 67}{space 4}-.0002678{col 80}{space 3} .0002829
{txt}{space 14}pre_posters {c |}{col 27}{res}{space 2}-.0023393{col 39}{space 2} .0143399{col 50}{space 1}   -0.16{col 59}{space 3}0.870{col 67}{space 4}-.0304971{col 80}{space 3} .0258185
{txt}{space 16}pre_booth {c |}{col 27}{res}{space 2} .0083552{col 39}{space 2} .0153607{col 50}{space 1}    0.54{col 59}{space 3}0.587{col 67}{space 4}-.0218069{col 80}{space 3} .0385174
{txt}{space 15}pre_online {c |}{col 27}{res}{space 2}-.0086209{col 39}{space 2} .0101437{col 50}{space 1}   -0.85{col 59}{space 3}0.396{col 67}{space 4}-.0285391{col 80}{space 3} .0112973
{txt}{space 17}pre_call {c |}{col 27}{res}{space 2} .0117581{col 39}{space 2}  .011001{col 50}{space 1}    1.07{col 59}{space 3}0.286{col 67}{space 4}-.0098434{col 80}{space 3} .0333597
{txt}{space 14}pre_friends {c |}{col 27}{res}{space 2}-.0083379{col 39}{space 2} .0185645{col 50}{space 1}   -0.45{col 59}{space 3}0.653{col 67}{space 4}-.0447911{col 80}{space 3} .0281153
{txt}{space 15}pre_others {c |}{col 27}{res}{space 2} .0280417{col 39}{space 2} .0177618{col 50}{space 1}    1.58{col 59}{space 3}0.115{col 67}{space 4}-.0068354{col 80}{space 3} .0629187
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .0130195{col 39}{space 2} .0205136{col 50}{space 1}    0.63{col 59}{space 3}0.526{col 67}{space 4} -.027261{col 80}{space 3} .0532999
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}comment_no~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0203088{col 26}{space 2} .0095691{col 37}{space 1}   -2.12{col 46}{space 3}0.034{col 54}{space 4}-.0390987{col 67}{space 3}-.0015189
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       672
                                                {txt}F(17, 654)        =  {res}     4.44
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0882
                                                {txt}Root MSE          =    {res} .47041

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}     comment_constructive{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2}  .030856{col 39}{space 2} .0367038{col 50}{space 1}    0.84{col 59}{space 3}0.401{col 67}{space 4}-.0412155{col 80}{space 3} .1029275
{txt}{space 12}z_voice_prior {c |}{col 27}{res}{space 2}-.0462071{col 39}{space 2} .0174537{col 50}{space 1}   -2.65{col 59}{space 3}0.008{col 67}{space 4}-.0804791{col 80}{space 3}-.0119351
{txt}{space 19}female {c |}{col 27}{res}{space 2} -.043282{col 39}{space 2} .0485444{col 50}{space 1}   -0.89{col 59}{space 3}0.373{col 67}{space 4}-.1386038{col 80}{space 3} .0520397
{txt}{space 22}age {c |}{col 27}{res}{space 2} .0060331{col 39}{space 2} .0014113{col 50}{space 1}    4.27{col 59}{space 3}0.000{col 67}{space 4}  .003262{col 80}{space 3} .0088043
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}-.0012204{col 39}{space 2} .0017844{col 50}{space 1}   -0.68{col 59}{space 3}0.494{col 67}{space 4}-.0047242{col 80}{space 3} .0022834
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 4}d_experience_campaign {c |}{col 27}{res}{space 2}-.0218951{col 39}{space 2} .0881697{col 50}{space 1}   -0.25{col 59}{space 3}0.804{col 67}{space 4}-.1950249{col 80}{space 3} .1512348
{txt}{space 14}z_votes_own {c |}{col 27}{res}{space 2}-.0328343{col 39}{space 2} .0233279{col 50}{space 1}   -1.41{col 59}{space 3}0.160{col 67}{space 4}-.0786409{col 80}{space 3} .0129723
{txt}{space 10}z_votes_other_1 {c |}{col 27}{res}{space 2}-.0261364{col 39}{space 2} .0221012{col 50}{space 1}   -1.18{col 59}{space 3}0.237{col 67}{space 4}-.0695343{col 80}{space 3} .0172616
{txt}{space 10}z_votes_other_2 {c |}{col 27}{res}{space 2} .0038409{col 39}{space 2} .0200622{col 50}{space 1}    0.19{col 59}{space 3}0.848{col 67}{space 4}-.0355531{col 80}{space 3} .0432349
{txt}{space 11}pre_doortodoor {c |}{col 27}{res}{space 2} .0795363{col 39}{space 2} .0510254{col 50}{space 1}    1.56{col 59}{space 3}0.120{col 67}{space 4} -.020657{col 80}{space 3} .1797296
{txt}{space 6}pre_days_doortodoor {c |}{col 27}{res}{space 2}-.0009173{col 39}{space 2} .0006568{col 50}{space 1}   -1.40{col 59}{space 3}0.163{col 67}{space 4}-.0022069{col 80}{space 3} .0003723
{txt}{space 14}pre_posters {c |}{col 27}{res}{space 2}-.0076178{col 39}{space 2} .0572237{col 50}{space 1}   -0.13{col 59}{space 3}0.894{col 67}{space 4}-.1199821{col 80}{space 3} .1047466
{txt}{space 16}pre_booth {c |}{col 27}{res}{space 2}-.1173145{col 39}{space 2} .0694415{col 50}{space 1}   -1.69{col 59}{space 3}0.092{col 67}{space 4}-.2536696{col 80}{space 3} .0190406
{txt}{space 15}pre_online {c |}{col 27}{res}{space 2}-.0383542{col 39}{space 2} .0474605{col 50}{space 1}   -0.81{col 59}{space 3}0.419{col 67}{space 4}-.1315476{col 80}{space 3} .0548391
{txt}{space 17}pre_call {c |}{col 27}{res}{space 2} .0076057{col 39}{space 2} .0532907{col 50}{space 1}    0.14{col 59}{space 3}0.887{col 67}{space 4}-.0970358{col 80}{space 3} .1122471
{txt}{space 14}pre_friends {c |}{col 27}{res}{space 2} .1481465{col 39}{space 2} .0568949{col 50}{space 1}    2.60{col 59}{space 3}0.009{col 67}{space 4} .0364278{col 80}{space 3} .2598652
{txt}{space 15}pre_others {c |}{col 27}{res}{space 2} .1657097{col 39}{space 2} .0581821{col 50}{space 1}    2.85{col 59}{space 3}0.005{col 67}{space 4} .0514635{col 80}{space 3} .2799559
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .0811261{col 39}{space 2} .0661229{col 50}{space 1}    1.23{col 59}{space 3}0.220{col 67}{space 4}-.0487127{col 80}{space 3} .2109648
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}comment_co~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .030856{col 26}{space 2} .0367038{col 37}{space 1}    0.84{col 46}{space 3}0.401{col 54}{space 4}-.0412155{col 67}{space 3} .1029275
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       672
                                                {txt}F(17, 654)        =  {res}     3.41
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1227
                                                {txt}Root MSE          =    {res} 183.63

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}      comment_length_wins{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} 7.155884{col 39}{space 2} 14.18259{col 50}{space 1}    0.50{col 59}{space 3}0.614{col 67}{space 4}-20.69303{col 80}{space 3}  35.0048
{txt}{space 12}z_voice_prior {c |}{col 27}{res}{space 2}-27.86581{col 39}{space 2} 7.102969{col 50}{space 1}   -3.92{col 59}{space 3}0.000{col 67}{space 4}-41.81319{col 80}{space 3}-13.91843
{txt}{space 19}female {c |}{col 27}{res}{space 2}  -24.814{col 39}{space 2} 17.35285{col 50}{space 1}   -1.43{col 59}{space 3}0.153{col 67}{space 4}-58.88801{col 80}{space 3} 9.260009
{txt}{space 22}age {c |}{col 27}{res}{space 2} 2.201179{col 39}{space 2} .5883723{col 50}{space 1}    3.74{col 59}{space 3}0.000{col 67}{space 4} 1.045853{col 80}{space 3} 3.356506
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}-1.381761{col 39}{space 2} .8176452{col 50}{space 1}   -1.69{col 59}{space 3}0.092{col 67}{space 4}-2.987288{col 80}{space 3} .2237653
{txt}{space 13}member_years {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 4}d_experience_campaign {c |}{col 27}{res}{space 2} 11.58871{col 39}{space 2} 32.19327{col 50}{space 1}    0.36{col 59}{space 3}0.719{col 67}{space 4}-51.62593{col 80}{space 3} 74.80335
{txt}{space 14}z_votes_own {c |}{col 27}{res}{space 2} 12.62065{col 39}{space 2} 9.684127{col 50}{space 1}    1.30{col 59}{space 3}0.193{col 67}{space 4}-6.395084{col 80}{space 3} 31.63638
{txt}{space 10}z_votes_other_1 {c |}{col 27}{res}{space 2}-23.22651{col 39}{space 2} 8.023042{col 50}{space 1}   -2.89{col 59}{space 3}0.004{col 67}{space 4}-38.98054{col 80}{space 3}-7.472479
{txt}{space 10}z_votes_other_2 {c |}{col 27}{res}{space 2} 8.989308{col 39}{space 2} 7.490535{col 50}{space 1}    1.20{col 59}{space 3}0.231{col 67}{space 4}-5.719091{col 80}{space 3} 23.69771
{txt}{space 11}pre_doortodoor {c |}{col 27}{res}{space 2} 36.83337{col 39}{space 2} 21.54777{col 50}{space 1}    1.71{col 59}{space 3}0.088{col 67}{space 4}-5.477776{col 80}{space 3} 79.14453
{txt}{space 6}pre_days_doortodoor {c |}{col 27}{res}{space 2}-.2470652{col 39}{space 2} .1784577{col 50}{space 1}   -1.38{col 59}{space 3}0.167{col 67}{space 4}-.5974843{col 80}{space 3}  .103354
{txt}{space 14}pre_posters {c |}{col 27}{res}{space 2}-70.07698{col 39}{space 2}  28.9379{col 50}{space 1}   -2.42{col 59}{space 3}0.016{col 67}{space 4}-126.8994{col 80}{space 3}-13.25458
{txt}{space 16}pre_booth {c |}{col 27}{res}{space 2} 52.14421{col 39}{space 2} 25.79445{col 50}{space 1}    2.02{col 59}{space 3}0.044{col 67}{space 4} 1.494282{col 80}{space 3} 102.7941
{txt}{space 15}pre_online {c |}{col 27}{res}{space 2}-47.69152{col 39}{space 2} 20.60793{col 50}{space 1}   -2.31{col 59}{space 3}0.021{col 67}{space 4} -88.1572{col 80}{space 3} -7.22583
{txt}{space 17}pre_call {c |}{col 27}{res}{space 2}-8.119931{col 39}{space 2} 20.63566{col 50}{space 1}   -0.39{col 59}{space 3}0.694{col 67}{space 4}-48.64008{col 80}{space 3} 32.40022
{txt}{space 14}pre_friends {c |}{col 27}{res}{space 2} 53.82296{col 39}{space 2} 22.70387{col 50}{space 1}    2.37{col 59}{space 3}0.018{col 67}{space 4} 9.241691{col 80}{space 3} 98.40423
{txt}{space 15}pre_others {c |}{col 27}{res}{space 2} 62.89655{col 39}{space 2} 25.58938{col 50}{space 1}    2.46{col 59}{space 3}0.014{col 67}{space 4} 12.64929{col 80}{space 3} 113.1438
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-7.824421{col 39}{space 2} 24.25623{col 50}{space 1}   -0.32{col 59}{space 3}0.747{col 67}{space 4}-55.45391{col 80}{space 3} 39.80507
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}comment_le~s{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 7.155884{col 26}{space 2} 14.18259{col 37}{space 1}    0.50{col 46}{space 3}0.614{col 54}{space 4}-20.69303{col 67}{space 3}  35.0048
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
.         
. loc colnum = 1
{txt}
{com}. loc colnames "" 
{txt}
{com}.         
. foreach choice in `experiments' {c -(}       
{txt}  2{com}. 
. 
.         
.  xi: reg `choice' feedback_pooled  $control  , vce(r) // 
{txt}  3{com}.    
.    
.    
.     
.     sigstar feedback_pooled  , prec(3)
{txt}  4{com}.     estadd loc thisstat10 = "`r(bstar)'": col`colnum'
{txt}  5{com}.     estadd loc thisstat11 = "`r(sestar)'": col`colnum'
{txt}  6{com}.    
. 
.                  
.         qui sum `choice' if no_feedback_pooled==1
{txt}  7{com}.         estadd loc thisstat13 = string(`r(mean)', "%9.2f"): col`colnum'
{txt}  8{com}.         
.         qui sum `choice' 
{txt}  9{com}.     estadd loc thisstat14 = string(`r(N)', "%9.0f"): col`colnum'
{txt} 10{com}.         
.         
.         
.     estadd loc thisstat15 = "X" : col`colnum'
{txt} 11{com}.         
.     loc ++colnum
{txt} 12{com}. 
.         
.         {c )-}
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       672
                                                {txt}F(17, 654)        =  {res}     9.80
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1508
                                                {txt}Root MSE          =    {res} .46686

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}          comment_any{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}feedback_pooled {c |}{col 23}{res}{space 2}  .024601{col 35}{space 2} .0363976{col 46}{space 1}    0.68{col 55}{space 3}0.499{col 63}{space 4}-.0468693{col 76}{space 3} .0960713
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2}-.0704757{col 35}{space 2} .0176768{col 46}{space 1}   -3.99{col 55}{space 3}0.000{col 63}{space 4}-.1051857{col 76}{space 3}-.0357656
{txt}{space 15}female {c |}{col 23}{res}{space 2}-.0808873{col 35}{space 2} .0480202{col 46}{space 1}   -1.68{col 55}{space 3}0.093{col 63}{space 4}-.1751797{col 76}{space 3} .0134051
{txt}{space 18}age {c |}{col 23}{res}{space 2} .0084626{col 35}{space 2}  .001331{col 46}{space 1}    6.36{col 55}{space 3}0.000{col 63}{space 4}  .005849{col 76}{space 3} .0110762
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}-.0026866{col 35}{space 2} .0016672{col 46}{space 1}   -1.61{col 55}{space 3}0.108{col 63}{space 4}-.0059604{col 76}{space 3} .0005871
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2} .0389428{col 35}{space 2} .0900234{col 46}{space 1}    0.43{col 55}{space 3}0.665{col 63}{space 4}-.1378268{col 76}{space 3} .2157125
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2}-.0294589{col 35}{space 2} .0224607{col 46}{space 1}   -1.31{col 55}{space 3}0.190{col 63}{space 4}-.0735627{col 76}{space 3}  .014645
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2} -.037299{col 35}{space 2} .0220182{col 46}{space 1}   -1.69{col 55}{space 3}0.091{col 63}{space 4}-.0805339{col 76}{space 3} .0059358
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2} .0284516{col 35}{space 2} .0212888{col 46}{space 1}    1.34{col 55}{space 3}0.182{col 63}{space 4}-.0133511{col 76}{space 3} .0702543
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} .0802102{col 35}{space 2} .0496153{col 46}{space 1}    1.62{col 55}{space 3}0.106{col 63}{space 4}-.0172142{col 76}{space 3} .1776347
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2} -.000776{col 35}{space 2} .0006203{col 46}{space 1}   -1.25{col 55}{space 3}0.211{col 63}{space 4} -.001994{col 76}{space 3} .0004419
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2}-.0685101{col 35}{space 2} .0539286{col 46}{space 1}   -1.27{col 55}{space 3}0.204{col 63}{space 4}-.1744041{col 76}{space 3}  .037384
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2}-.0761097{col 35}{space 2} .0668977{col 46}{space 1}   -1.14{col 55}{space 3}0.256{col 63}{space 4}-.2074699{col 76}{space 3} .0552506
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2}-.1126803{col 35}{space 2} .0471524{col 46}{space 1}   -2.39{col 55}{space 3}0.017{col 63}{space 4}-.2052687{col 76}{space 3}-.0200918
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .0540924{col 35}{space 2} .0517734{col 46}{space 1}    1.04{col 55}{space 3}0.297{col 63}{space 4}-.0475698{col 76}{space 3} .1557545
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .1077349{col 35}{space 2} .0584871{col 46}{space 1}    1.84{col 55}{space 3}0.066{col 63}{space 4}-.0071102{col 76}{space 3} .2225801
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2} .2025779{col 35}{space 2} .0522852{col 46}{space 1}    3.87{col 55}{space 3}0.000{col 63}{space 4} .0999109{col 76}{space 3} .3052449
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .1449801{col 35}{space 2} .0674034{col 46}{space 1}    2.15{col 55}{space 3}0.032{col 63}{space 4}  .012627{col 76}{space 3} .2773332
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} comment_any{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .024601{col 26}{space 2} .0363976{col 37}{space 1}    0.68{col 46}{space 3}0.499{col 54}{space 4}-.0468693{col 67}{space 3} .0960713
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       672
                                                {txt}F(17, 654)        =  {res}     0.72
                                                {txt}Prob > F          = {res}    0.7873
                                                {txt}R-squared         = {res}    0.0697
                                                {txt}Root MSE          =    {res} .12406

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}     comment_nonsense{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}feedback_pooled {c |}{col 23}{res}{space 2}-.0047288{col 35}{space 2} .0086707{col 46}{space 1}   -0.55{col 55}{space 3}0.586{col 63}{space 4}-.0217545{col 76}{space 3}  .012297
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .0048475{col 35}{space 2} .0051495{col 46}{space 1}    0.94{col 55}{space 3}0.347{col 63}{space 4}-.0052641{col 76}{space 3} .0149591
{txt}{space 15}female {c |}{col 23}{res}{space 2}-.0029025{col 35}{space 2} .0127176{col 46}{space 1}   -0.23{col 55}{space 3}0.820{col 63}{space 4}-.0278747{col 76}{space 3} .0220697
{txt}{space 18}age {c |}{col 23}{res}{space 2} .0006969{col 35}{space 2} .0005246{col 46}{space 1}    1.33{col 55}{space 3}0.184{col 63}{space 4}-.0003331{col 76}{space 3}  .001727
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}-.0005333{col 35}{space 2} .0004386{col 46}{space 1}   -1.22{col 55}{space 3}0.224{col 63}{space 4}-.0013945{col 76}{space 3} .0003278
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-.0095895{col 35}{space 2} .0309838{col 46}{space 1}   -0.31{col 55}{space 3}0.757{col 63}{space 4}-.0704293{col 76}{space 3} .0512503
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2}-.0159403{col 35}{space 2} .0105833{col 46}{space 1}   -1.51{col 55}{space 3}0.133{col 63}{space 4}-.0367217{col 76}{space 3} .0048412
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2}   .01459{col 35}{space 2} .0115468{col 46}{space 1}    1.26{col 55}{space 3}0.207{col 63}{space 4}-.0080832{col 76}{space 3} .0372632
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2} .0133312{col 35}{space 2} .0070803{col 46}{space 1}    1.88{col 55}{space 3}0.060{col 63}{space 4}-.0005716{col 76}{space 3}  .027234
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} -.012478{col 35}{space 2} .0120473{col 46}{space 1}   -1.04{col 55}{space 3}0.301{col 63}{space 4}-.0361341{col 76}{space 3}  .011178
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2} .0000333{col 35}{space 2} .0001326{col 46}{space 1}    0.25{col 55}{space 3}0.802{col 63}{space 4}-.0002272{col 76}{space 3} .0002938
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2}-.0048656{col 35}{space 2} .0145465{col 46}{space 1}   -0.33{col 55}{space 3}0.738{col 63}{space 4} -.033429{col 76}{space 3} .0236978
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2} .0083957{col 35}{space 2}  .015311{col 46}{space 1}    0.55{col 55}{space 3}0.584{col 63}{space 4} -.021669{col 76}{space 3} .0384604
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2}-.0105824{col 35}{space 2} .0104515{col 46}{space 1}   -1.01{col 55}{space 3}0.312{col 63}{space 4}-.0311049{col 76}{space 3} .0099401
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .0132525{col 35}{space 2} .0111396{col 46}{space 1}    1.19{col 55}{space 3}0.235{col 63}{space 4}-.0086212{col 76}{space 3} .0351263
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2}-.0085294{col 35}{space 2} .0182742{col 46}{space 1}   -0.47{col 55}{space 3}0.641{col 63}{space 4}-.0444126{col 76}{space 3} .0273539
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2} .0262309{col 35}{space 2} .0176054{col 46}{space 1}    1.49{col 55}{space 3}0.137{col 63}{space 4} -.008339{col 76}{space 3} .0608008
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .0082499{col 35}{space 2} .0183783{col 46}{space 1}    0.45{col 55}{space 3}0.654{col 63}{space 4}-.0278377{col 76}{space 3} .0443376
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}comment_no~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0047288{col 26}{space 2} .0086707{col 37}{space 1}   -0.55{col 46}{space 3}0.586{col 54}{space 4}-.0217545{col 67}{space 3}  .012297
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       672
                                                {txt}F(17, 654)        =  {res}     4.39
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0872
                                                {txt}Root MSE          =    {res} .47065

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1} comment_constructive{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}feedback_pooled {c |}{col 23}{res}{space 2} .0038361{col 35}{space 2}  .036449{col 46}{space 1}    0.11{col 55}{space 3}0.916{col 63}{space 4} -.067735{col 76}{space 3} .0754073
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2}-.0466271{col 35}{space 2} .0174066{col 46}{space 1}   -2.68{col 55}{space 3}0.008{col 63}{space 4}-.0808066{col 76}{space 3}-.0124476
{txt}{space 15}female {c |}{col 23}{res}{space 2}-.0440166{col 35}{space 2} .0484897{col 46}{space 1}   -0.91{col 55}{space 3}0.364{col 63}{space 4}-.1392308{col 76}{space 3} .0511976
{txt}{space 18}age {c |}{col 23}{res}{space 2} .0061495{col 35}{space 2} .0014177{col 46}{space 1}    4.34{col 55}{space 3}0.000{col 63}{space 4} .0033657{col 76}{space 3} .0089333
{txt}{space 9}member_years {c |}{col 23}{res}{space 2} -.001296{col 35}{space 2} .0017894{col 46}{space 1}   -0.72{col 55}{space 3}0.469{col 63}{space 4}-.0048096{col 76}{space 3} .0022176
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-.0259454{col 35}{space 2} .0880334{col 46}{space 1}   -0.29{col 55}{space 3}0.768{col 63}{space 4}-.1988076{col 76}{space 3} .1469168
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2}-.0323439{col 35}{space 2} .0232613{col 46}{space 1}   -1.39{col 55}{space 3}0.165{col 63}{space 4}-.0780197{col 76}{space 3} .0133319
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2}-.0252534{col 35}{space 2} .0221718{col 46}{space 1}   -1.14{col 55}{space 3}0.255{col 63}{space 4}-.0687899{col 76}{space 3} .0182831
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2} .0026057{col 35}{space 2}  .020153{col 46}{space 1}    0.13{col 55}{space 3}0.897{col 63}{space 4}-.0369667{col 76}{space 3} .0421781
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} .0799915{col 35}{space 2}  .051008{col 46}{space 1}    1.57{col 55}{space 3}0.117{col 63}{space 4}-.0201677{col 76}{space 3} .1801507
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2} -.000956{col 35}{space 2} .0006561{col 46}{space 1}   -1.46{col 55}{space 3}0.146{col 63}{space 4}-.0022444{col 76}{space 3} .0003324
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2}-.0038935{col 35}{space 2} .0571123{col 46}{space 1}   -0.07{col 55}{space 3}0.946{col 63}{space 4}-.1160391{col 76}{space 3}  .108252
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2}-.1170237{col 35}{space 2} .0696064{col 46}{space 1}   -1.68{col 55}{space 3}0.093{col 63}{space 4}-.2537027{col 76}{space 3} .0196553
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2}-.0356402{col 35}{space 2} .0474502{col 46}{space 1}   -0.75{col 55}{space 3}0.453{col 63}{space 4}-.1288133{col 76}{space 3}  .057533
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .0051999{col 35}{space 2} .0532518{col 46}{space 1}    0.10{col 55}{space 3}0.922{col 63}{space 4}-.0993651{col 76}{space 3}  .109765
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .1486142{col 35}{space 2} .0566812{col 46}{space 1}    2.62{col 55}{space 3}0.009{col 63}{space 4} .0373152{col 76}{space 3} .2599132
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2} .1684597{col 35}{space 2} .0581861{col 46}{space 1}    2.90{col 55}{space 3}0.004{col 63}{space 4} .0542056{col 76}{space 3} .2827139
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .0900202{col 35}{space 2} .0667955{col 46}{space 1}    1.35{col 55}{space 3}0.178{col 63}{space 4}-.0411393{col 76}{space 3} .2211796
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}comment_co~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0038361{col 26}{space 2}  .036449{col 37}{space 1}    0.11{col 46}{space 3}0.916{col 54}{space 4} -.067735{col 67}{space 3} .0754073
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       672
                                                {txt}F(17, 654)        =  {res}     3.57
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1301
                                                {txt}Root MSE          =    {res} 182.85

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}  comment_length_wins{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}feedback_pooled {c |}{col 23}{res}{space 2} 34.32618{col 35}{space 2} 13.68003{col 46}{space 1}    2.51{col 55}{space 3}0.012{col 63}{space 4} 7.464106{col 76}{space 3} 61.18826
{txt}{space 8}z_voice_prior {c |}{col 23}{res}{space 2}-27.91881{col 35}{space 2} 7.053706{col 46}{space 1}   -3.96{col 55}{space 3}0.000{col 63}{space 4}-41.76946{col 76}{space 3}-14.06817
{txt}{space 15}female {c |}{col 23}{res}{space 2}-25.70239{col 35}{space 2} 17.30277{col 46}{space 1}   -1.49{col 55}{space 3}0.138{col 63}{space 4}-59.67808{col 76}{space 3}   8.2733
{txt}{space 18}age {c |}{col 23}{res}{space 2} 2.286831{col 35}{space 2} .5883472{col 46}{space 1}    3.89{col 55}{space 3}0.000{col 63}{space 4} 1.131553{col 76}{space 3} 3.442108
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}-1.465722{col 35}{space 2} .8104022{col 46}{space 1}   -1.81{col 55}{space 3}0.071{col 63}{space 4}-3.057026{col 76}{space 3} .1255821
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2} 11.17903{col 35}{space 2} 32.47297{col 46}{space 1}    0.34{col 55}{space 3}0.731{col 63}{space 4}-52.58481{col 76}{space 3} 74.94288
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2} 13.26876{col 35}{space 2} 9.287351{col 46}{space 1}    1.43{col 55}{space 3}0.154{col 63}{space 4}-4.967868{col 76}{space 3} 31.50538
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2}-22.64824{col 35}{space 2} 7.973227{col 46}{space 1}   -2.84{col 55}{space 3}0.005{col 63}{space 4}-38.30445{col 76}{space 3}-6.992029
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2} 9.286283{col 35}{space 2} 7.322721{col 46}{space 1}    1.27{col 55}{space 3}0.205{col 63}{space 4}-5.092598{col 76}{space 3} 23.66516
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} 36.01054{col 35}{space 2} 21.44354{col 46}{space 1}    1.68{col 55}{space 3}0.094{col 63}{space 4}-6.095947{col 76}{space 3} 78.11703
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.2596868{col 35}{space 2} .1824649{col 46}{space 1}   -1.42{col 55}{space 3}0.155{col 63}{space 4}-.6179745{col 76}{space 3}  .098601
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2}-68.07393{col 35}{space 2} 28.90586{col 46}{space 1}   -2.36{col 55}{space 3}0.019{col 63}{space 4}-124.8334{col 76}{space 3}-11.31444
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2}  48.6948{col 35}{space 2}  25.6192{col 46}{space 1}    1.90{col 55}{space 3}0.058{col 63}{space 4}-1.611008{col 76}{space 3}  99.0006
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2}-44.40474{col 35}{space 2} 20.19047{col 46}{space 1}   -2.20{col 55}{space 3}0.028{col 63}{space 4} -84.0507{col 76}{space 3}-4.758772
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2}-7.327738{col 35}{space 2} 20.69433{col 46}{space 1}   -0.35{col 55}{space 3}0.723{col 63}{space 4}-47.96308{col 76}{space 3} 33.30761
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} 52.16597{col 35}{space 2} 22.54348{col 46}{space 1}    2.31{col 55}{space 3}0.021{col 63}{space 4}  7.89964{col 76}{space 3} 96.43231
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2} 63.54542{col 35}{space 2}  25.7475{col 46}{space 1}    2.47{col 55}{space 3}0.014{col 63}{space 4} 12.98769{col 76}{space 3} 114.1032
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-22.21339{col 35}{space 2} 23.20475{col 46}{space 1}   -0.96{col 55}{space 3}0.339{col 63}{space 4}-67.77818{col 76}{space 3} 23.35141
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}comment_le~s{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 34.32618{col 26}{space 2} 13.68003{col 37}{space 1}    2.51{col 46}{space 3}0.012{col 54}{space 4} 7.464106{col 67}{space 3} 61.18826
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
. 
.          
. 
. loc rowlabels " "\textbf{c -(}Panel A: Type of voice{c )-} " "  " "Instrumental" " " " "   " \hline Intrinsic group  mean"  " \hline"  "\textbf{c -(}Panel B: Feedback announcement{c )-} " "  " "Feedback announcement" " " " " " \hline No feedback group mean" "Number of Observations" "Controls" "
{txt}
{com}. 
. loc rowstats ""
{txt}
{com}. 
. forval i = 1/14 {c -(}
{txt}  2{com}.     loc rowstats "`rowstats' thisstat`i'"
{txt}  3{com}. {c )-}
{txt}
{com}. 
. 
. 
. esttab col* using "$output/treat_length_2panel.tex", replace cells(none) booktabs nonotes   num compress alignment(c) nogap noobs nobaselevels label stats(`rowstats', labels(`rowlabels')) ///
> mtitle("Any comment" "Nonsense comment" "Constructive comment" "Length (characters)" )
{res}{txt}(output written to {browse  `"/Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/output/treat_length_2panel.tex"'})

{com}. 
. 
. 
{txt}end of do-file

{com}. do "$scripts/tables/Table_A18_treat_length_2panel_nocont.do"
{txt}
{com}. 
. 
. use "$data/clean/clean_main_complete.dta" , replace
{txt}
{com}. 
. 
. 
.                    
. loc experiments " comment_any comment_nonsense  comment_constructive comment_length_wins"
{txt}
{com}. 
.                    
.                    
. preserve
{txt}
{com}. 
. clear all
{res}{txt}
{com}. eststo clear
{txt}
{com}. estimates drop _all
{txt}
{com}. 
. set obs 10
{txt}{p}
number of observations (_N)  was 0,
now 10
{p_end}

{com}. qui gen x = 1
{txt}
{com}. qui gen y = 1
{txt}
{com}. 
. loc columns = 0
{txt}
{com}. 
. foreach choice in `experiments'   {c -(}
{txt}  2{com}. 
.     loc ++columns
{txt}  3{com}.     qui eststo col`columns': reg x y
{txt}  4{com}. 
. {c )-}
{txt}
{com}. 
. restore
{txt}
{com}. 
. 
. /* Statistics */
. 
. loc colnum = 1
{txt}
{com}. loc colnames ""
{txt}
{com}. 
. 
. foreach choice in `experiments' {c -(}
{txt}  2{com}. 
. /* Statistics */
. 
. 
. 
.  
.  
. ********************************Panel A*****************************************
. 
.         
.         
.  xi: reg `choice' voice_instrumental_pooled   , vce(r) // 
{txt}  3{com}.    
.    
.    
.     sigstar voice_instrumental_pooled , prec(3)
{txt}  4{com}.     estadd loc thisstat3 = "`r(bstar)'": col`colnum'
{txt}  5{com}.     estadd loc thisstat4 = "`r(sestar)'": col`colnum'
{txt}  6{com}.    
. 
.                  
.         qui sum `choice' if voice_instrumental_pooled==0
{txt}  7{com}.         estadd loc thisstat6 = string(`r(mean)', "%9.2f"): col`colnum'
{txt}  8{com}.         
.             loc ++colnum
{txt}  9{com}. {c )-}

{txt}Linear regression                               Number of obs     = {res}       672
                                                {txt}F(1, 670)         =  {res}     0.37
                                                {txt}Prob > F          = {res}    0.5406
                                                {txt}R-squared         = {res}    0.0006
                                                {txt}Root MSE          =    {res} .50038

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}              comment_any{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} .0236332{col 39}{space 2} .0386065{col 50}{space 1}    0.61{col 59}{space 3}0.541{col 67}{space 4} -.052171{col 80}{space 3} .0994374
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}  .502994{col 39}{space 2} .0273991{col 50}{space 1}   18.36{col 59}{space 3}0.000{col 67}{space 4} .4491956{col 80}{space 3} .5567924
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} comment_any{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0236332{col 26}{space 2} .0386065{col 37}{space 1}    0.61{col 46}{space 3}0.541{col 54}{space 4} -.052171{col 67}{space 3} .0994374
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Linear regression                               Number of obs     = {res}       672
                                                {txt}F(1, 670)         =  {res}     4.60
                                                {txt}Prob > F          = {res}    0.0324
                                                {txt}R-squared         = {res}    0.0069
                                                {txt}Root MSE          =    {res} .12664

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}         comment_nonsense{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2}-.0210289{col 39}{space 2} .0098078{col 50}{space 1}   -2.14{col 59}{space 3}0.032{col 67}{space 4}-.0402866{col 80}{space 3}-.0017713
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .0269461{col 39}{space 2} .0088734{col 50}{space 1}    3.04{col 59}{space 3}0.002{col 67}{space 4} .0095231{col 80}{space 3} .0443691
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}comment_no~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0210289{col 26}{space 2} .0098078{col 37}{space 1}   -2.14{col 46}{space 3}0.032{col 54}{space 4}-.0402866{col 67}{space 3}-.0017713
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Linear regression                               Number of obs     = {res}       672
                                                {txt}F(1, 670)         =  {res}     1.92
                                                {txt}Prob > F          = {res}    0.1659
                                                {txt}R-squared         = {res}    0.0029
                                                {txt}Root MSE          =    {res} .48601

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}     comment_constructive{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2} .0519966{col 39}{space 2} .0374914{col 50}{space 1}    1.39{col 59}{space 3}0.166{col 67}{space 4}-.0216183{col 80}{space 3} .1256115
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .3562874{col 39}{space 2} .0262434{col 50}{space 1}   13.58{col 59}{space 3}0.000{col 67}{space 4} .3047582{col 80}{space 3} .4078166
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}comment_co~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0519966{col 26}{space 2} .0374914{col 37}{space 1}    1.39{col 46}{space 3}0.166{col 54}{space 4}-.0216183{col 67}{space 3} .1256115
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Linear regression                               Number of obs     = {res}       672
                                                {txt}F(1, 670)         =  {res}     0.72
                                                {txt}Prob > F          = {res}    0.3971
                                                {txt}R-squared         = {res}    0.0011
                                                {txt}Root MSE          =    {res} 193.59

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}      comment_length_wins{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
voice_instrumental_pooled {c |}{col 27}{res}{space 2}   12.652{col 39}{space 2} 14.93159{col 50}{space 1}    0.85{col 59}{space 3}0.397{col 67}{space 4}-16.66633{col 80}{space 3} 41.97034
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 98.15569{col 39}{space 2} 10.30986{col 50}{space 1}    9.52{col 59}{space 3}0.000{col 67}{space 4} 77.91217{col 80}{space 3} 118.3992
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} voice_instrumental_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}comment_le~s{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}   12.652{col 26}{space 2} 14.93159{col 37}{space 1}    0.85{col 46}{space 3}0.397{col 54}{space 4}-16.66633{col 67}{space 3} 41.97034
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
.         
. loc colnum = 1
{txt}
{com}. loc colnames "" 
{txt}
{com}.         
. foreach choice in `experiments' {c -(}       
{txt}  2{com}. 
. 
.         
.  xi: reg `choice' feedback_pooled    , vce(r) // 
{txt}  3{com}.    
.    
.    
.     
.     sigstar feedback_pooled  , prec(3)
{txt}  4{com}.     estadd loc thisstat10 = "`r(bstar)'": col`colnum'
{txt}  5{com}.     estadd loc thisstat11 = "`r(sestar)'": col`colnum'
{txt}  6{com}.    
. 
.                  
.         qui sum `choice' if no_feedback_pooled==1
{txt}  7{com}.         estadd loc thisstat13 = string(`r(mean)', "%9.2f"): col`colnum'
{txt}  8{com}.         
.         qui sum `choice' 
{txt}  9{com}.     estadd loc thisstat14 = string(`r(N)', "%9.0f"): col`colnum'
{txt} 10{com}.         
.         
.         
.     estadd loc thisstat15 = "X" : col`colnum'
{txt} 11{com}.         
.     loc ++colnum
{txt} 12{com}. 
.         
.         {c )-}

{txt}Linear regression                               Number of obs     = {res}       672
                                                {txt}F(1, 670)         =  {res}     0.40
                                                {txt}Prob > F          = {res}    0.5285
                                                {txt}R-squared         = {res}    0.0006
                                                {txt}Root MSE          =    {res} .50038

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}    comment_any{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
feedback_pooled {c |}{col 17}{res}{space 2} .0243488{col 29}{space 2} .0386099{col 40}{space 1}    0.63{col 49}{space 3}0.528{col 57}{space 4}-.0514623{col 70}{space 3} .1001598
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}  .502924{col 29}{space 2} .0270768{col 40}{space 1}   18.57{col 49}{space 3}0.000{col 57}{space 4} .4497585{col 70}{space 3} .5560895
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} comment_any{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0243488{col 26}{space 2} .0386099{col 37}{space 1}    0.63{col 46}{space 3}0.528{col 54}{space 4}-.0514623{col 67}{space 3} .1001598
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Linear regression                               Number of obs     = {res}       672
                                                {txt}F(1, 670)         =  {res}     0.73
                                                {txt}Prob > F          = {res}    0.3926
                                                {txt}R-squared         = {res}    0.0011
                                                {txt}Root MSE          =    {res} .12701

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}comment_nonse~e{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
feedback_pooled {c |}{col 17}{res}{space 2}-.0083466{col 29}{space 2} .0097566{col 40}{space 1}   -0.86{col 49}{space 3}0.393{col 57}{space 4}-.0275038{col 70}{space 3} .0108106
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .0204678{col 29}{space 2}  .007668{col 40}{space 1}    2.67{col 49}{space 3}0.008{col 57}{space 4} .0054117{col 70}{space 3} .0355239
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}comment_no~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0083466{col 26}{space 2} .0097566{col 37}{space 1}   -0.86{col 46}{space 3}0.393{col 54}{space 4}-.0275038{col 67}{space 3} .0108106
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Linear regression                               Number of obs     = {res}       672
                                                {txt}F(1, 670)         =  {res}     0.02
                                                {txt}Prob > F          = {res}    0.8998
                                                {txt}R-squared         = {res}    0.0000
                                                {txt}Root MSE          =    {res}  .4867

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}comment_const~e{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
feedback_pooled {c |}{col 17}{res}{space 2} .0047315{col 29}{space 2} .0375575{col 40}{space 1}    0.13{col 49}{space 3}0.900{col 57}{space 4} -.069013{col 70}{space 3}  .078476
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}  .380117{col 29}{space 2} .0262874{col 40}{space 1}   14.46{col 49}{space 3}0.000{col 57}{space 4} .3285014{col 70}{space 3} .4317326
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}comment_co~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0047315{col 26}{space 2} .0375575{col 37}{space 1}    0.13{col 46}{space 3}0.900{col 54}{space 4} -.069013{col 67}{space 3}  .078476
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Linear regression                               Number of obs     = {res}       672
                                                {txt}F(1, 670)         =  {res}     6.93
                                                {txt}Prob > F          = {res}    0.0087
                                                {txt}R-squared         = {res}    0.0103
                                                {txt}Root MSE          =    {res} 192.69

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}comment_lengt~s{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
feedback_pooled {c |}{col 17}{res}{space 2}  39.3555{col 29}{space 2} 14.94516{col 40}{space 1}    2.63{col 49}{space 3}0.009{col 57}{space 4} 10.01051{col 70}{space 3} 68.70049
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 85.19298{col 29}{space 2} 8.822281{col 40}{space 1}    9.66{col 49}{space 3}0.000{col 57}{space 4} 67.87034{col 70}{space 3} 102.5156
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} feedback_pooled = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}comment_le~s{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  39.3555{col 26}{space 2} 14.94516{col 37}{space 1}    2.63{col 46}{space 3}0.009{col 54}{space 4} 10.01051{col 67}{space 3} 68.70049
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
. 
.          
. 
. loc rowlabels " "\textbf{c -(}Panel A: Type of voice{c )-} " "  " "Instrumental" " " " "   " \hline Intrinsic group  mean"  " \hline"  "\textbf{c -(}Panel B: Feedback announcement{c )-} " "  " "Feedback announcement" " " " " " \hline No feedback group mean" "Number of Observations" "Controls" "
{txt}
{com}. 
. loc rowstats ""
{txt}
{com}. 
. forval i = 1/14 {c -(}
{txt}  2{com}.     loc rowstats "`rowstats' thisstat`i'"
{txt}  3{com}. {c )-}
{txt}
{com}. 
. 
. 
. esttab col* using "$output/treat_length_2panel_nocont.tex", replace cells(none) booktabs nonotes   num compress alignment(c) nogap noobs nobaselevels label stats(`rowstats', labels(`rowlabels')) ///
> mtitle("Any comment" "Nonsense comment" "Constructive comment" "Length (characters)" )
{res}{txt}(output written to {browse  `"/Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/output/treat_length_2panel_nocont.tex"'})

{com}. 
. 
. 
{txt}end of do-file

{com}. 
. *Figures*
. do "$scripts/figures/Figure_A1_voice_dist.do"
{txt}
{com}. 
. 
. use "$data/clean/clean_main_complete.dta" , replace
{txt}
{com}. 
. 
. 
. hist voice_prior , xlab(1 "No, definitely not" 2 "Rather not" 3 "I am not sure" 4 "Rather yes " 5 "Yes, definitely") frac barw(0.5) ///
> xtitle("Do you feel that your opinion is heard within the party?") ytitle("Fraction of respondents")
{txt}(bin={res}30{txt}, start={res}1{txt}, width={res}.13333333{txt})
{res}{txt}
{com}. 
. graph export "$output/voice_prior_dist.pdf" , replace
{txt}(file /Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/output/voice_prior_dist.pdf written in PDF format)

{com}. 
. 
.    
. 
{txt}end of do-file

{com}. do "$scripts/figures/Figure_A2_voice_corr.do"
{txt}
{com}. 
. 
. use "$data/clean/clean_main_complete.dta" , replace
{txt}
{com}. 
. 
. labe var pre_days_doortodoor "Experience: # days door canvassing"
{txt}
{com}. label var z_votes_own "Expected vote share own party"
{txt}
{com}. label var z_votes_other_1 "Expected vote share competitor party 1"
{txt}
{com}. label var z_votes_other_2 "Expected vote share competitor party 2"
{txt}
{com}. 
. 
. foreach x in $control {c -(}
{txt}  2{com}. ereplace `x' =std(`x')  
{txt}  3{com}.         
. {c )-}
{txt}(1,007 real changes made)
(1,007 real changes made)
variable {bf}age{sf} was {bf}{res}byte{sf}{txt} now {bf}{res}float{sf}
{txt}(1,007 real changes made)
(1,007 real changes made)
(10 real changes made)
(1,007 real changes made)
(1,007 real changes made)
(1,007 real changes made)
(1,007 real changes made)
(1,007 real changes made)
(1,007 real changes made)
(1,007 real changes made)
(1,007 real changes made)
(1,007 real changes made)
(1,007 real changes made)
(1,007 real changes made)
(1,007 real changes made)

{com}. 
.                    
. 
.  xi: reg z_voice_prior   $control  , vce(r)
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}     1,007
                                                {txt}{help j_robustsingular:F(0, 990) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    1.0000
                                                {txt}Root MSE          =    {res}      0

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}        z_voice_prior{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}z_voice_prior {c |}{col 23}{res}{space 2}        1{col 35}{space 2} 1.22e-18{col 46}{space 1} 8.2e+17{col 55}{space 3}0.000{col 63}{space 4}        1{col 76}{space 3}        1
{txt}{space 15}female {c |}{col 23}{res}{space 2}-6.68e-19{col 35}{space 2} 1.14e-18{col 46}{space 1}   -0.59{col 55}{space 3}0.557{col 63}{space 4}-2.90e-18{col 76}{space 3} 1.56e-18
{txt}{space 18}age {c |}{col 23}{res}{space 2}-2.50e-18{col 35}{space 2} 1.36e-18{col 46}{space 1}   -1.84{col 55}{space 3}0.066{col 63}{space 4}-5.16e-18{col 76}{space 3} 1.66e-19
{txt}{space 9}member_years {c |}{col 23}{res}{space 2} 1.13e-18{col 35}{space 2} 1.70e-18{col 46}{space 1}    0.67{col 55}{space 3}0.506{col 63}{space 4}-2.21e-18{col 76}{space 3} 4.47e-18
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2} 2.12e-17{col 35}{space 2} 2.78e-18{col 46}{space 1}    7.63{col 55}{space 3}0.000{col 63}{space 4} 1.58e-17{col 76}{space 3} 2.67e-17
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2}-6.19e-19{col 35}{space 2} 1.11e-18{col 46}{space 1}   -0.56{col 55}{space 3}0.576{col 63}{space 4}-2.79e-18{col 76}{space 3} 1.55e-18
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2} 1.41e-18{col 35}{space 2} 1.07e-18{col 46}{space 1}    1.31{col 55}{space 3}0.189{col 63}{space 4}-6.98e-19{col 76}{space 3} 3.52e-18
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2} 6.85e-20{col 35}{space 2} 1.10e-18{col 46}{space 1}    0.06{col 55}{space 3}0.950{col 63}{space 4}-2.09e-18{col 76}{space 3} 2.23e-18
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2} 4.09e-18{col 35}{space 2} 1.68e-18{col 46}{space 1}    2.44{col 55}{space 3}0.015{col 63}{space 4} 7.96e-19{col 76}{space 3} 7.38e-18
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-2.07e-17{col 35}{space 2} 3.27e-18{col 46}{space 1}   -6.33{col 55}{space 3}0.000{col 63}{space 4}-2.72e-17{col 76}{space 3}-1.43e-17
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2} 4.45e-18{col 35}{space 2} 1.82e-18{col 46}{space 1}    2.45{col 55}{space 3}0.014{col 63}{space 4} 8.87e-19{col 76}{space 3} 8.01e-18
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2} 1.49e-19{col 35}{space 2} 2.07e-18{col 46}{space 1}    0.07{col 55}{space 3}0.943{col 63}{space 4}-3.91e-18{col 76}{space 3} 4.21e-18
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} 2.29e-18{col 35}{space 2} 1.56e-18{col 46}{space 1}    1.47{col 55}{space 3}0.143{col 63}{space 4}-7.70e-19{col 76}{space 3} 5.34e-18
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} 2.53e-17{col 35}{space 2} 1.84e-18{col 46}{space 1}   13.80{col 55}{space 3}0.000{col 63}{space 4} 2.17e-17{col 76}{space 3} 2.89e-17
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2}-3.85e-17{col 35}{space 2} 2.91e-18{col 46}{space 1}  -13.27{col 55}{space 3}0.000{col 63}{space 4}-4.42e-17{col 76}{space 3}-3.28e-17
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2}-2.57e-18{col 35}{space 2} 1.29e-18{col 46}{space 1}   -2.00{col 55}{space 3}0.046{col 63}{space 4}-5.09e-18{col 76}{space 3}-4.73e-20
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-8.27e-25{col 35}{space 2} 1.09e-18{col 46}{space 1}   -0.00{col 55}{space 3}1.000{col 63}{space 4}-2.15e-18{col 76}{space 3} 2.15e-18
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store corrs
{txt}
{com}. 
. 
.  xi: reg z_score_fs  $control if control == 1, vce(r)
{txt}note: member_years omitted because of collinearity

Linear regression                               Number of obs     = {res}       326
                                                {txt}F(16, 309)        =  {res}    18.81
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.5100
                                                {txt}Root MSE          =    {res} .71792

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}           z_score_fs{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}z_voice_prior {c |}{col 23}{res}{space 2} .6330052{col 35}{space 2}  .048469{col 46}{space 1}   13.06{col 55}{space 3}0.000{col 63}{space 4} .5376342{col 76}{space 3} .7283763
{txt}{space 15}female {c |}{col 23}{res}{space 2} .0170537{col 35}{space 2} .0435735{col 46}{space 1}    0.39{col 55}{space 3}0.696{col 63}{space 4}-.0686846{col 76}{space 3} .1027921
{txt}{space 18}age {c |}{col 23}{res}{space 2} .0036348{col 35}{space 2} .0528648{col 46}{space 1}    0.07{col 55}{space 3}0.945{col 63}{space 4}-.1003858{col 76}{space 3} .1076553
{txt}{space 9}member_years {c |}{col 23}{res}{space 2} .0480667{col 35}{space 2} .0533535{col 46}{space 1}    0.90{col 55}{space 3}0.368{col 63}{space 4}-.0569155{col 76}{space 3} .1530488
{txt}{space 9}member_years {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
d_experience_campaign {c |}{col 23}{res}{space 2}-.2500743{col 35}{space 2} .1073397{col 46}{space 1}   -2.33{col 55}{space 3}0.020{col 63}{space 4}-.4612834{col 76}{space 3}-.0388651
{txt}{space 10}z_votes_own {c |}{col 23}{res}{space 2} .1290589{col 35}{space 2} .0504267{col 46}{space 1}    2.56{col 55}{space 3}0.011{col 63}{space 4} .0298358{col 76}{space 3}  .228282
{txt}{space 6}z_votes_other_1 {c |}{col 23}{res}{space 2} .0282663{col 35}{space 2} .0397373{col 46}{space 1}    0.71{col 55}{space 3}0.477{col 63}{space 4}-.0499237{col 76}{space 3} .1064562
{txt}{space 6}z_votes_other_2 {c |}{col 23}{res}{space 2}-.1019142{col 35}{space 2} .0453006{col 46}{space 1}   -2.25{col 55}{space 3}0.025{col 63}{space 4}-.1910509{col 76}{space 3}-.0127776
{txt}{space 7}pre_doortodoor {c |}{col 23}{res}{space 2}-.0168017{col 35}{space 2} .0547072{col 46}{space 1}   -0.31{col 55}{space 3}0.759{col 63}{space 4}-.1244476{col 76}{space 3} .0908441
{txt}{space 2}pre_days_doortodoor {c |}{col 23}{res}{space 2}-.0040933{col 35}{space 2} .0330466{col 46}{space 1}   -0.12{col 55}{space 3}0.902{col 63}{space 4}-.0691181{col 76}{space 3} .0609314
{txt}{space 10}pre_posters {c |}{col 23}{res}{space 2}-.0601538{col 35}{space 2} .0578364{col 46}{space 1}   -1.04{col 55}{space 3}0.299{col 63}{space 4}-.1739569{col 76}{space 3} .0536493
{txt}{space 12}pre_booth {c |}{col 23}{res}{space 2} .0989432{col 35}{space 2} .0958985{col 46}{space 1}    1.03{col 55}{space 3}0.303{col 63}{space 4}-.0897534{col 76}{space 3} .2876399
{txt}{space 11}pre_online {c |}{col 23}{res}{space 2} .1153537{col 35}{space 2} .0521224{col 46}{space 1}    2.21{col 55}{space 3}0.028{col 63}{space 4}  .012794{col 76}{space 3} .2179135
{txt}{space 13}pre_call {c |}{col 23}{res}{space 2} .0304212{col 35}{space 2} .0429401{col 46}{space 1}    0.71{col 55}{space 3}0.479{col 63}{space 4}-.0540708{col 76}{space 3} .1149131
{txt}{space 10}pre_friends {c |}{col 23}{res}{space 2} .0497926{col 35}{space 2} .0731428{col 46}{space 1}    0.68{col 55}{space 3}0.497{col 63}{space 4}-.0941282{col 76}{space 3} .1937135
{txt}{space 11}pre_others {c |}{col 23}{res}{space 2}-.0276009{col 35}{space 2} .0407165{col 46}{space 1}   -0.68{col 55}{space 3}0.498{col 63}{space 4}-.1077175{col 76}{space 3} .0525157
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .0227198{col 35}{space 2} .0415524{col 46}{space 1}    0.55{col 55}{space 3}0.585{col 63}{space 4}-.0590417{col 76}{space 3} .1044812
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store corrs_z_score_fs
{txt}
{com}. 
. 
. 
. coefplot corrs corrs_z_score_fs , xline(0) drop(_cons)  xtitle("Standard deviations") grid(none) /// title("Correlations with perceived voice")
> legend(pos(6) order(2 "Prior voice (z)" 4 "Voice index") row(1))
{res}{txt}
{com}.  
.  
. graph export "$output/voice_corr_coefplot.pdf" , replace
{txt}(file /Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/output/voice_corr_coefplot.pdf written in PDF format)

{com}. 
{txt}end of do-file

{com}. do "$scripts/figures/Figure_A3_voice_nint_scatter.do"
{txt}
{com}. 
. 
. use "$data/clean/clean_main_complete.dta" , replace
{txt}
{com}. 
. 
. 
. gen coeff = .
{txt}(1,007 missing values generated)

{com}. gen ci_u =.
{txt}(1,007 missing values generated)

{com}. gen ci_l =.
{txt}(1,007 missing values generated)

{com}. cap drop x
{txt}
{com}. 
.  gen x = 1.6 in 1
{txt}(1,006 missing values generated)

{com}. replace x = 1.9 in 2
{txt}(1 real change made)

{com}. 
.   
. 
.  xi: reg any_doors  1.treat_any##1.voice_prior_high $control , vce(r) // 
{p 0 6 2}{txt}note: member_years omitted because of collinearity{p_end}

Linear regression                               Number of obs     = {res}     1,007
                                                {txt}F(19, 987)        =  {res}     1.15
                                                {txt}Prob > F          = {res}    0.2923
                                                {txt}R-squared         = {res}    0.0508
                                                {txt}Root MSE          =    {res} .14062

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                 any_doors{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      t{col 60}   P>|t|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}treat_any {c |}
{space 16}Treatment  {c |}{col 28}{res}{space 2} .0146748{col 40}{space 2} .0092613{col 51}{space 1}    1.58{col 60}{space 3}0.113{col 68}{space 4}-.0034992{col 81}{space 3} .0328489
{txt}{space 8}1.voice_prior_high {c |}{col 28}{res}{space 2}-.0192003{col 40}{space 2} .0129624{col 51}{space 1}   -1.48{col 60}{space 3}0.139{col 68}{space 4}-.0446374{col 81}{space 3} .0062367
{txt}{space 26} {c |}
treat_any#voice_prior_high {c |}
{space 14}Treatment#1  {c |}{col 28}{res}{space 2} .0251007{col 40}{space 2} .0141992{col 51}{space 1}    1.77{col 60}{space 3}0.077{col 68}{space 4}-.0027635{col 81}{space 3} .0529649
{txt}{space 26} {c |}
{space 13}z_voice_prior {c |}{col 28}{res}{space 2} .0078721{col 40}{space 2} .0076146{col 51}{space 1}    1.03{col 60}{space 3}0.301{col 68}{space 4}-.0070705{col 81}{space 3} .0228148
{txt}{space 20}female {c |}{col 28}{res}{space 2} .0311507{col 40}{space 2} .0145137{col 51}{space 1}    2.15{col 60}{space 3}0.032{col 68}{space 4} .0026696{col 81}{space 3} .0596319
{txt}{space 23}age {c |}{col 28}{res}{space 2}-.0012986{col 40}{space 2} .0004003{col 51}{space 1}   -3.24{col 60}{space 3}0.001{col 68}{space 4}-.0020842{col 81}{space 3} -.000513
{txt}{space 14}member_years {c |}{col 28}{res}{space 2} .0000737{col 40}{space 2} .0002961{col 51}{space 1}    0.25{col 60}{space 3}0.804{col 68}{space 4}-.0005074{col 81}{space 3} .0006547
{txt}{space 14}member_years {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 5}d_experience_campaign {c |}{col 28}{res}{space 2} .0069438{col 40}{space 2}  .013123{col 51}{space 1}    0.53{col 60}{space 3}0.597{col 68}{space 4}-.0188085{col 81}{space 3} .0326961
{txt}{space 15}z_votes_own {c |}{col 28}{res}{space 2}-.0029404{col 40}{space 2} .0030189{col 51}{space 1}   -0.97{col 60}{space 3}0.330{col 68}{space 4}-.0088647{col 81}{space 3} .0029838
{txt}{space 11}z_votes_other_1 {c |}{col 28}{res}{space 2} .0023419{col 40}{space 2} .0042477{col 51}{space 1}    0.55{col 60}{space 3}0.582{col 68}{space 4}-.0059936{col 81}{space 3} .0106775
{txt}{space 11}z_votes_other_2 {c |}{col 28}{res}{space 2}-.0035996{col 40}{space 2} .0045502{col 51}{space 1}   -0.79{col 60}{space 3}0.429{col 68}{space 4}-.0125287{col 81}{space 3} .0053295
{txt}{space 12}pre_doortodoor {c |}{col 28}{res}{space 2} .0088326{col 40}{space 2}  .012708{col 51}{space 1}    0.70{col 60}{space 3}0.487{col 68}{space 4}-.0161052{col 81}{space 3} .0337704
{txt}{space 7}pre_days_doortodoor {c |}{col 28}{res}{space 2}-.0001928{col 40}{space 2} .0001181{col 51}{space 1}   -1.63{col 60}{space 3}0.103{col 68}{space 4}-.0004245{col 81}{space 3} .0000389
{txt}{space 15}pre_posters {c |}{col 28}{res}{space 2}-.0055853{col 40}{space 2} .0144793{col 51}{space 1}   -0.39{col 60}{space 3}0.700{col 68}{space 4}-.0339989{col 81}{space 3} .0228284
{txt}{space 17}pre_booth {c |}{col 28}{res}{space 2} .0219951{col 40}{space 2} .0092852{col 51}{space 1}    2.37{col 60}{space 3}0.018{col 68}{space 4}  .003774{col 81}{space 3} .0402161
{txt}{space 16}pre_online {c |}{col 28}{res}{space 2}-.0077485{col 40}{space 2} .0119814{col 51}{space 1}   -0.65{col 60}{space 3}0.518{col 68}{space 4}-.0312604{col 81}{space 3} .0157635
{txt}{space 18}pre_call {c |}{col 28}{res}{space 2} .0075488{col 40}{space 2} .0134521{col 51}{space 1}    0.56{col 60}{space 3}0.575{col 68}{space 4}-.0188492{col 81}{space 3} .0339468
{txt}{space 15}pre_friends {c |}{col 28}{res}{space 2} .0050737{col 40}{space 2} .0151189{col 51}{space 1}    0.34{col 60}{space 3}0.737{col 68}{space 4}-.0245953{col 81}{space 3} .0347427
{txt}{space 16}pre_others {c |}{col 28}{res}{space 2}-.0232834{col 40}{space 2} .0068228{col 51}{space 1}   -3.41{col 60}{space 3}0.001{col 68}{space 4}-.0366723{col 81}{space 3}-.0098946
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .0480786{col 40}{space 2} .0187706{col 51}{space 1}    2.56{col 60}{space 3}0.011{col 68}{space 4} .0112438{col 81}{space 3} .0849135
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.  
.  replace coeff = _b[1.treat_any] in 1
{txt}(1 real change made)

{com}.  replace ci_u = _b[1.treat_any] + 1.96*_se[1.treat_any] in 1
{txt}(1 real change made)

{com}.  replace ci_l = _b[1.treat_any] - 1.96*_se[1.treat_any] in 1
{txt}(1 real change made)

{com}.  
.  lincom  1.treat_any + 1.treat_any#1.voice_prior_high

{p 0 7}{space 1}{text:( 1)}{space 1} {res}1.treat_any + 1.treat_any#1.voice_prior_high = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   any_doors{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0397755{col 26}{space 2} .0108823{col 37}{space 1}    3.66{col 46}{space 3}0.000{col 54}{space 4} .0184205{col 67}{space 3} .0611305
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  
.   replace coeff = r(estimate)   in 2
{txt}(1 real change made)

{com}.  replace ci_u = r(estimate)   + 1.96*r(se) in 2
{txt}(1 real change made)

{com}.  replace ci_l = r(estimate)  - 1.96*r(se) in 2
{txt}(1 real change made)

{com}.  
. 
. 
.    
. twoway (scatter coeff x  ) (rcap ci_u ci_l x), ytitle("Any doors") xtitle(" ") xlab(1.6 "Low prior voice" 1.9  "High prior voice") legend(pos(6) rows(1) order(1 "Any voice treatment" 2 "Confidence interval")) xscale(range(1.4 2.1)) text(0.06 1.75 "*", size(vlarge)) yline(0 , lcolor(red))
{res}{txt}
{com}. 
. graph export "$output/voice_prior_doors_any_coeffplot.pdf" , replace
{txt}(file /Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/output/voice_prior_doors_any_coeffplot.pdf written in PDF format)

{com}. 
.  
.   xi: reg z_score_fs 1.treat_any##1.voice_prior_high $control , vce(r) // 
{p 0 6 2}{txt}note: member_years omitted because of collinearity{p_end}

Linear regression                               Number of obs     = {res}       955
                                                {txt}F(19, 935)        =  {res}    60.85
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.5579
                                                {txt}Root MSE          =    {res} .66833

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                z_score_fs{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      t{col 60}   P>|t|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}treat_any {c |}
{space 16}Treatment  {c |}{col 28}{res}{space 2} -.023488{col 40}{space 2}  .065616{col 51}{space 1}   -0.36{col 60}{space 3}0.720{col 68}{space 4}-.1522598{col 81}{space 3} .1052837
{txt}{space 8}1.voice_prior_high {c |}{col 28}{res}{space 2}-.4783553{col 40}{space 2} .1049917{col 51}{space 1}   -4.56{col 60}{space 3}0.000{col 68}{space 4}-.6844019{col 81}{space 3}-.2723088
{txt}{space 26} {c |}
treat_any#voice_prior_high {c |}
{space 14}Treatment#1  {c |}{col 28}{res}{space 2} .1977663{col 40}{space 2} .0965117{col 51}{space 1}    2.05{col 60}{space 3}0.041{col 68}{space 4} .0083615{col 81}{space 3}  .387171
{txt}{space 26} {c |}
{space 13}z_voice_prior {c |}{col 28}{res}{space 2}  .796337{col 40}{space 2} .0445012{col 51}{space 1}   17.89{col 60}{space 3}0.000{col 68}{space 4} .7090031{col 81}{space 3} .8836709
{txt}{space 20}female {c |}{col 28}{res}{space 2}-.0842364{col 40}{space 2} .0558585{col 51}{space 1}   -1.51{col 60}{space 3}0.132{col 68}{space 4}-.1938589{col 81}{space 3} .0253862
{txt}{space 23}age {c |}{col 28}{res}{space 2}-.0018094{col 40}{space 2}  .001781{col 51}{space 1}   -1.02{col 60}{space 3}0.310{col 68}{space 4}-.0053046{col 81}{space 3} .0016857
{txt}{space 14}member_years {c |}{col 28}{res}{space 2} .0003517{col 40}{space 2} .0020308{col 51}{space 1}    0.17{col 60}{space 3}0.863{col 68}{space 4}-.0036338{col 81}{space 3} .0043372
{txt}{space 14}member_years {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 5}d_experience_campaign {c |}{col 28}{res}{space 2}-.2410419{col 40}{space 2} .1237214{col 51}{space 1}   -1.95{col 60}{space 3}0.052{col 68}{space 4}-.4838457{col 81}{space 3}  .001762
{txt}{space 15}z_votes_own {c |}{col 28}{res}{space 2} .1137199{col 40}{space 2} .0427428{col 51}{space 1}    2.66{col 60}{space 3}0.008{col 68}{space 4} .0298369{col 81}{space 3} .1976029
{txt}{space 11}z_votes_other_1 {c |}{col 28}{res}{space 2} .0426518{col 40}{space 2} .0273651{col 51}{space 1}    1.56{col 60}{space 3}0.119{col 68}{space 4}-.0110522{col 81}{space 3} .0963559
{txt}{space 11}z_votes_other_2 {c |}{col 28}{res}{space 2}-.0859341{col 40}{space 2} .0274349{col 51}{space 1}   -3.13{col 60}{space 3}0.002{col 68}{space 4}-.1397752{col 81}{space 3} -.032093
{txt}{space 12}pre_doortodoor {c |}{col 28}{res}{space 2}  .006472{col 40}{space 2} .0613328{col 51}{space 1}    0.11{col 60}{space 3}0.916{col 68}{space 4}-.1138938{col 81}{space 3} .1268379
{txt}{space 7}pre_days_doortodoor {c |}{col 28}{res}{space 2}-.0016681{col 40}{space 2} .0007222{col 51}{space 1}   -2.31{col 60}{space 3}0.021{col 68}{space 4}-.0030855{col 81}{space 3}-.0002507
{txt}{space 15}pre_posters {c |}{col 28}{res}{space 2} .0246378{col 40}{space 2} .0660663{col 51}{space 1}    0.37{col 60}{space 3}0.709{col 68}{space 4}-.1050175{col 81}{space 3} .1542932
{txt}{space 17}pre_booth {c |}{col 28}{res}{space 2} .0078402{col 40}{space 2} .1021552{col 51}{space 1}    0.08{col 60}{space 3}0.939{col 68}{space 4}-.1926398{col 81}{space 3} .2083203
{txt}{space 16}pre_online {c |}{col 28}{res}{space 2}  .039174{col 40}{space 2} .0555932{col 51}{space 1}    0.70{col 60}{space 3}0.481{col 68}{space 4}-.0699279{col 81}{space 3} .1482758
{txt}{space 18}pre_call {c |}{col 28}{res}{space 2} .0519771{col 40}{space 2} .0594132{col 51}{space 1}    0.87{col 60}{space 3}0.382{col 68}{space 4}-.0646217{col 81}{space 3} .1685758
{txt}{space 15}pre_friends {c |}{col 28}{res}{space 2} .0987807{col 40}{space 2} .0764759{col 51}{space 1}    1.29{col 60}{space 3}0.197{col 68}{space 4}-.0513036{col 81}{space 3} .2488651
{txt}{space 16}pre_others {c |}{col 28}{res}{space 2} .0213853{col 40}{space 2} .0616274{col 51}{space 1}    0.35{col 60}{space 3}0.729{col 68}{space 4}-.0995587{col 81}{space 3} .1423294
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .3911282{col 40}{space 2} .0987999{col 51}{space 1}    3.96{col 60}{space 3}0.000{col 68}{space 4} .1972329{col 81}{space 3} .5850235
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.  
.  replace coeff = _b[1.treat_any] in 1
{txt}(1 real change made)

{com}.  replace ci_u = _b[1.treat_any] + 1.96*_se[1.treat_any] in 1
{txt}(1 real change made)

{com}.  replace ci_l = _b[1.treat_any] - 1.96*_se[1.treat_any] in 1
{txt}(1 real change made)

{com}.  
.  lincom  1.treat_any + 1.treat_any#1.voice_prior_high

{p 0 7}{space 1}{text:( 1)}{space 1} {res}1.treat_any + 1.treat_any#1.voice_prior_high = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  z_score_fs{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1742782{col 26}{space 2} .0712456{col 37}{space 1}    2.45{col 46}{space 3}0.015{col 54}{space 4} .0344583{col 67}{space 3} .3140981
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  
.  replace coeff = r(estimate)   in 2
{txt}(1 real change made)

{com}.  replace ci_u = r(estimate)   + 1.96*r(se) in 2
{txt}(1 real change made)

{com}.  replace ci_l = r(estimate)  - 1.96*r(se) in 2
{txt}(1 real change made)

{com}. 
. 
. 
. twoway (scatter coeff x  ) (rcap ci_u ci_l x), ytitle("Voice index (z)") xtitle(" ") xlab(1.6 "Low prior voice" 1.9  "High prior voice") legend(pos(6) rows(1) order(1 "Any voice treatment" 2 "Confidence interval")) xscale(range(1.4 2.1)) text(0.375 1.75 "**", size(vlarge)) yline(0 , lcolor(red))
{res}{txt}
{com}.    
. graph export "$output/voice_prior_fs_any_coeffplot.pdf" , replace
{txt}(file /Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/output/voice_prior_fs_any_coeffplot.pdf written in PDF format)

{com}. 
{txt}end of do-file

{com}. 
. 
. * Vignette data *
. do "$scripts/figures/Figure_A4_vignette_CDFs.do"
{txt}
{com}. 
. 
. use  "$data/clean/vignette.dta", clear
{txt}
{com}. 
. *** CDF plots ***
. reshape long  prob_join_ prob_camp_, i(id) j(treat)
{txt}(note: j = 0 1)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}     496   {txt}->{res}     992
{txt}Number of variables            {res}      18   {txt}->{res}      17
{txt}j variable (2 values)                     ->   {res}treat
{txt}xij variables:
                {res}prob_join_0 prob_join_1   {txt}->   {res}prob_join_
                prob_camp_0 prob_camp_1   {txt}->   {res}prob_camp_
{txt}{hline 77}

{com}. 
. 
. cdfplot prob_join_ , by(treat) xtitle("Probability of joining party") legend(pos(6) order(1 "Status quo" 2 "Improved voice") rows(1))
{txt}(0 observations deleted)

{com}. graph export "$output/vignette_cdf_joining.pdf", replace
{txt}(file /Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/output/vignette_cdf_joining.pdf written in PDF format)

{com}. 
. cdfplot prob_camp_ , by(treat) xtitle("Probability of campaigning") legend(pos(6) order(1 "Status quo" 2 "Improved voice") rows(1))
{txt}(0 observations deleted)

{com}. graph export "$output/vignette_cdf_camp.pdf", replace
{txt}(file /Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/output/vignette_cdf_camp.pdf written in PDF format)

{com}. 
. 
{txt}end of do-file

{com}. do "$scripts/tables/Table_A19_sum_vignette.do"
{txt}
{com}. 
. use  "$data/clean/vignette.dta", clear
{txt}
{com}. 
.  *** Summary statistics ***
. 
. 
. tempfile main
{txt}
{com}. save `main', replace
{txt}(note: file /var/folders/kh/c_7hg45109q4mrtxd_bnv5t00000gn/T//S_01965.000001 not found)
file /var/folders/kh/c_7hg45109q4mrtxd_bnv5t00000gn/T//S_01965.000001 saved

{com}. 
. clear all
{res}{txt}
{com}. eststo clear
{txt}
{com}. estimates drop _all
{txt}
{com}. 
. loc columns = 6
{txt}
{com}. 
. set obs 10
{txt}{p}
number of observations (_N)  was 0,
now 10
{p_end}

{com}. gen x = 1
{txt}
{com}. gen y = 1
{txt}
{com}. 
. forval i = 1/`columns' {c -(}
{txt}  2{com}.         eststo col`i': reg x y
{txt}  3{com}. {c )-} 
{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: y omitted because of collinearity

      Source {c |}       SS           df       MS      Number of obs   ={res}        10
{txt}{hline 13}{c +}{hline 34}   F(0, 9)         = {res}     0.00
{txt}       Model {c |} {res}          0         0           .   {txt}Prob > F        ={res}         .
{txt}    Residual {c |} {res}          0         9           0   {txt}R-squared       ={res}         .
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}         .
{txt}       Total {c |} {res}          0         9           0   {txt}Root MSE        =   {res}      0

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           x{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}y {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}        1{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. loc count = 1
{txt}
{com}. 
. loc statnames ""
{txt}
{com}. loc varlabels ""
{txt}
{com}. 
. /* Custom fill cells */
. 
. 
. 
. use `main', clear
{txt}
{com}. 
. 
. gen pana=.
{txt}(496 missing values generated)

{com}. gen empt =. 
{txt}(496 missing values generated)

{com}. 
. 
. label var pana "\underline{c -(}Individual level characteristics{c )-} " 
{txt}
{com}. 
. label var empt " "
{txt}
{com}.   
.   foreach yvar of varlist pana empt male age vocational tertiary employed student retired member  {c -(}
{txt}  2{com}.         qui sum `yvar', d
{txt}  3{com}.         if `r(N)'!=0 {c -(}
{txt}  4{com}.         cap: estadd loc thisstat`count' = string(`r(mean)', "%9.2f"): col1
{txt}  5{com}.         cap: estadd loc thisstat`count' = string(`r(sd)', "%9.2f"): col2
{txt}  6{com}.         cap: estadd loc thisstat`count' = string(`r(p50)', "%9.2f"): col3
{txt}  7{com}.         cap: estadd loc thisstat`count' = string(`r(min)', "%9.0f"): col4
{txt}  8{com}.         cap: estadd loc thisstat`count' = string(`r(max)', "%9.0f"): col5
{txt}  9{com}.         cap: estadd loc thisstat`count' = `r(N)' : col6 
{txt} 10{com}.         {c )-}
{txt} 11{com}. 
.         /* Row Labels */
.         
.         loc thisvarlabel: variable label `yvar'
{txt} 12{com}.         local varlabels "`varlabels' "`thisvarlabel'" "
{txt} 13{com}.         loc statnames "`statnames' thisstat`count'"
{txt} 14{com}.         loc count = `count' + 1
{txt} 15{com}. 
. {c )-}
{txt}
{com}. 
. 
. /* Footnotes */
. 
. loc prehead "\begin{c -(}tabular{c )-}{c -(}l*{c -(}`columns'{c )-}{c -(}c{c )-}{c )-} \toprule"
{txt}
{com}. 
. loc postfoot "\bottomrule \end{c -(}tabular{c )-}"
{txt}
{com}. 
. 
. esttab col* using "$output/sumstats_vignette", booktabs cells(none) nonum nogap mtitle("Mean" "SD" "Median" "Min." "Max." "Obs.") ///
>  stats(`statnames', labels(`varlabels'))  prehead("`prehead'") postfoot("`postfoot'") compress wrap replace
{res}{txt}(output written to {browse  `"/Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/output/sumstats_vignette.tex"'})

{com}. 
. eststo clear
{txt}
{com}. 
{txt}end of do-file

{com}. do "$scripts/tables/Table_A20_vignette_regression.do"
{txt}
{com}. 
. 
. use  "$data/clean/vignette.dta", clear
{txt}
{com}. 
. 
. 
. reshape long  prob_join_ prob_camp_, i(id) j(treat)
{txt}(note: j = 0 1)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}     496   {txt}->{res}     992
{txt}Number of variables            {res}      18   {txt}->{res}      17
{txt}j variable (2 values)                     ->   {res}treat
{txt}xij variables:
                {res}prob_join_0 prob_join_1   {txt}->   {res}prob_join_
                prob_camp_0 prob_camp_1   {txt}->   {res}prob_camp_
{txt}{hline 77}

{com}. 
. loc experiments "prob_join_  prob_camp_"
{txt}
{com}.                    
.                    
. preserve
{txt}
{com}. 
. clear all
{res}{txt}
{com}. eststo clear
{txt}
{com}. estimates drop _all
{txt}
{com}. 
. set obs 10
{txt}{p}
number of observations (_N)  was 0,
now 10
{p_end}

{com}. qui gen x = 1
{txt}
{com}. qui gen y = 1
{txt}
{com}. 
. loc columns = 0
{txt}
{com}. 
. foreach choice in `experiments' {c -(}
{txt}  2{com}. 
.     loc ++columns
{txt}  3{com}.     qui eststo col`columns': reg x y
{txt}  4{com}. 
. {c )-}
{txt}
{com}. 
. restore
{txt}
{com}. 
. 
. /* Statistics */
. 
. loc colnum = 1
{txt}
{com}. loc colnames ""
{txt}
{com}. 
. 
. foreach choice in `experiments' {c -(}
{txt}  2{com}. 
. /* Statistics */
. 
. 
. 
.  
.  
. ********************************Panel A*****************************************
.         
.     reg `choice'  treat, cluster(id) 
{txt}  3{com}.     sigstar treat  , prec(3)
{txt}  4{com}.     estadd loc thisstat3 = "`r(bstar)'": col`colnum'
{txt}  5{com}.     estadd loc thisstat4 = "`r(sestar)'": col`colnum'
{txt}  6{com}. 
.                 
.                  
.         qui sum `choice' if treat==0
{txt}  7{com}.         
. 
.         estadd loc thisstat6 = string(`r(mean)', "%9.2f"): col`colnum'
{txt}  8{com}.         
.         qui sum `choice' 
{txt}  9{com}.     estadd loc thisstat7 = string(`r(N)', "%9.0f"): col`colnum'
{txt} 10{com}.         
.         
.         
.     loc ++colnum
{txt} 11{com}.     loc colnames "`colnames' `"`: var la `choice''"'"
{txt} 12{com}.         
. 
.         
. 
.         {c )-}

{txt}Linear regression                               Number of obs     = {res}       878
                                                {txt}F(1, 438)         =  {res}    23.61
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0049
                                                {txt}Root MSE          =    {res} 27.706

{txt}{ralign 78:(Std. Err. adjusted for {res:439} clusters in id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  prob_join_{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2} 3.870159{col 26}{space 2} .7965086{col 37}{space 1}    4.86{col 46}{space 3}0.000{col 54}{space 4} 2.304705{col 67}{space 3} 5.435613
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 28.63098{col 26}{space 2} 1.285404{col 37}{space 1}   22.27{col 46}{space 3}0.000{col 54}{space 4} 26.10465{col 67}{space 3} 31.15731
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  prob_join_{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 3.870159{col 26}{space 2} .7965086{col 37}{space 1}    4.86{col 46}{space 3}0.000{col 54}{space 4} 2.304705{col 67}{space 3} 5.435613
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Linear regression                               Number of obs     = {res}       992
                                                {txt}F(1, 495)         =  {res}    19.84
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0032
                                                {txt}Root MSE          =    {res} 29.945

{txt}{ralign 78:(Std. Err. adjusted for {res:496} clusters in id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  prob_camp_{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}treat {c |}{col 14}{res}{space 2}  3.41129{col 26}{space 2} .7659072{col 37}{space 1}    4.45{col 46}{space 3}0.000{col 54}{space 4}  1.90646{col 67}{space 3}  4.91612
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 31.75806{col 26}{space 2} 1.314113{col 37}{space 1}   24.17{col 46}{space 3}0.000{col 54}{space 4} 29.17614{col 67}{space 3} 34.33999
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{p 0 7}{space 1}{text:( 1)}{space 1} treat = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  prob_camp_{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  3.41129{col 26}{space 2} .7659072{col 37}{space 1}    4.45{col 46}{space 3}0.000{col 54}{space 4}  1.90646{col 67}{space 3}  4.91612
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
. 
. loc rowlabels " " " "  " "Improved voice" " " " " " \hline Mean status quo" "Number of Observations"  "
{txt}
{com}. 
. loc rowstats ""
{txt}
{com}. 
. forval i = 1/7 {c -(}
{txt}  2{com}.     loc rowstats "`rowstats' thisstat`i'"
{txt}  3{com}. {c )-}
{txt}
{com}. 
. 
. 
. esttab col* using "$output/vignette_regression.tex", replace cells(none) booktabs nonotes nonum compress alignment(c) nogap noobs nobaselevels label stats(`rowstats', labels(`rowlabels')) ///
>   mtitle("Probability of joining the party" "Probability of joining the campaign")
{res}{txt}(output written to {browse  `"/Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/output/vignette_regression.tex"'})

{com}. 
{txt}end of do-file

{com}. 
. 
. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/lukas/Dropbox/Voice and Political Engagement/Submissions/Restat/Final Submission/Replication/master_log.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 1 Feb 2023, 00:16:14
{txt}{.-}
{smcl}
{txt}{sf}{ul off}